U.S. Department 

of Transportation

Federal Railroad 

Administration

Rail Trespasser Fatalities

Demographic and Behavioral Profiles

 June 2013
NOTICE

This document is disseminated under the sponsorship of the 

U.S. Department of Transportation in the interest of information 

exchange. The U.S. Government assumes no liability for its 

contents or use thereof. Any opinions, findings and conclusions, 

or recommendations expressed in this material do not necessarily 

reflect the views or policies of the U.S. Government, nor does 

mention of trade names, commercial products or organizations 

imply endorsement by the U.S. Government. The U.S. 

Government assumes no liability for the content or use of the 

material contained in this document. 

NOTICE

The U.S. Government does not endorse products or manufacturers. 

Trade or manufacturers’ names appear herein solely because they 

are considered essential to the objective of this report.

NOTE: This report was prepared by North American Management (NAM) at the direction of the Federal Railroad 

Administration (FRA) for the purpose of more accurately identifying the types of persons who trespass on railroad 

rights-of-way, and ultimately reducing the number of trespassing casualties, which contribute significantly to the 

total annual railroad-related deaths and injuries in the United States. This report is an extension of a March 2008

report produced by Cadle Creek Consulting titled, “Rail Trespasser Fatalities, Developing Demographic Profiles”

(2008 Report). The entire 2008 Report can be found at http://www.fra.dot.gov/eLib/Details/L02669. The current

report was generated as part of FRA’s continuing efforts to reduce trespassing on railroad rights-of-way and 

associated fatalities and injuries.

FRA intends to make this report available to the general public at www.fra.dot.gov. The U.S. Government assumes 

no liability for its contents or use thereof. The contents of this report reflect the view of the contractor, who is 

responsible for the accuracy of the data presented herein. The contents do not necessarily reflect the official policy 

of U.S. Government. This report does not constitute a standard, specification, or regulation. The U.S. Government 

does not endorse products or manufacturers. Trade or manufacturers’ names appear herein only because they are 

considered essential to the objective of this document.
i

Table of Contents

Executive Summary........................................................................................................................ 1

1. Introduction................................................................................................................................ 4

1.1 Background ........................................................................................................................... 4

1.2 Concept.................................................................................................................................. 4

1.3 Objectives.............................................................................................................................. 6

2. Methodology............................................................................................................................... 7

2.1 Survey Development ............................................................................................................. 7

2.2 Compilation of Coroner/CME List ....................................................................................... 7

2.3 Mailings and Followups........................................................................................................ 7

2.4 Responses.............................................................................................................................. 8

2.4.1 “No Record” Responses................................................................................................. 8

2.4.2 Non-Responses............................................................................................................... 9

3. Analyses.................................................................................................................................... 10

3.1 The Data .............................................................................................................................. 10

4. Response Analyses.................................................................................................................... 11

4.1 Age ...................................................................................................................................... 11

4.2 Gender ................................................................................................................................. 11

4.3 Gender by Age .................................................................................................................... 12

4.4 Ethnicity .............................................................................................................................. 14

4.5 Race..................................................................................................................................... 14

4.6 Gender by Race and Ethnicity............................................................................................. 15

4.7 Alcohol and/or Drugs.......................................................................................................... 16

4.8 Type of Incident .................................................................................................................. 16

4.9 Suicides ............................................................................................................................... 18

4.10 Suicides by Age and Gender ............................................................................................. 19

4.11 Drugs and Alcohol as a Factor among Suicides................................................................ 20

5. Market Analysis........................................................................................................................ 21

5.1 Method of Analysis............................................................................................................. 21

5.2 Market Analysis Results...................................................................................................... 21

5.3 Market Analysis Conclusions.............................................................................................. 24

6. Findings..................................................................................................................................... 25
ii

List of Figures, Tables, and Appendices

Figure 1: Railroad Trespasser Fatalities by State ........................................................................... 5

Figure 2: Railroad Trespasser Fatalities per 100,000 Population................................................... 6

Figure 3: Age Distribution of Railroad Fatalities......................................................................... 11

Figure 4: Decedent Gender........................................................................................................... 12

Figure 5: Decedent Gender by Age .............................................................................................. 12

Figure 6: Decedent Age Distribution by Gender.......................................................................... 13

Figure 7: Decedent Ethnicity ........................................................................................................ 14

Figure 8: Decedent Race............................................................................................................... 15

Figure 9: Suicide as Cause of Incident ......................................................................................... 19

Figure 10: Age Distribution of Suicides by Gender ..................................................................... 19

Table 1: Response Rates by Survey Item ..................................................................................... 10

Table 2: Incidents of All Kinds as a Leading Cause of Death by Age and Gender...................... 13

Table 3: Decedent Gender by Race and Ethnicity........................................................................ 15

Table 4: Drugs and/or Alcohol and Involvement in Incident ....................................................... 16

Table 5: Incident Description Frequencies................................................................................... 17

Table 6: Index of all Personicx Clusters....................................................................................... 22

Table 7: Description of Clusters Indexed at 200% or Higher....................................................... 23

Appendix A: Decedent Demographic and Behavioral Profile..................................................... 26

Appendix B: Demographics by FRA Regions............................................................................. 27

Appendix C: Trespasser Fatalities by State (2005–2010)............................................................ 29

Appendix D: Letter of Endorsement from FRA .......................................................................... 30

Appendix E: Letter of Transmittal from NAM ........................................................................... 31

Appendix F: Blank Fatality Report............................................................................................. 32

Appendix G: Response Rates by FRA Region and State ............................................................ 33

Appendix H: Chi-Square Test of Independence .......................................................................... 34

Appendix I: Coroner/CME Incident Descriptions and NAM Subjective Categories................ 35

Appendix J: Life Stage Group Index ......................................................................................... 49

Appendix K: Personicx Lifestage Groups and Cluster Descriptions.......................................... 50

Appendix L: Detailed Description of Personicx Clusters .......................................................... 54

Appendix M: Detail of How Decedents Mapped into Personicx Clusters .................................. 58
1

Executive Summary

In an effort to more accurately identify the types of persons who trespass on railroad rights-ofway, and ultimately reduce the number of trespassing events, the U.S. Department of 

Transportation’s (U.S. DOT) Federal Railroad Administration (FRA) contracted with North 

American Management Company (NAM) to conduct a demographic and market analysis of 

decedents in railroad-trespasser incidents. Following is a detailed report of this project.

The major objective of this study is to provide policymakers and other groups with information 

that will enable them to more directly target individuals who are most at risk of being struck by 

trains while trespassing on rail rights-of-way. This is accomplished by generating demographic 

profiles of decedents and generalizing them to the national population. The differences between 

the decedents and the U.S. population suggest ways in which those who are most at risk of being 

involved in railroad-trespasser incidents may be effectively targeted by outreach efforts.

This study is a followup to prior research that used data from 2002 through 2004 and was

presented to FRA in 2008 by Cadle Creek Consulting titled, “Rail Trespasser Fatalities, 

Developing Demographic Profiles” (2008 Report). Results from the current study are largely 

consistent with results from the 2008 Report. However, as detailed below, there are some key 

differences between the reports in addition to new trends identified.

NAM relied upon data submitted by the railroads to FRA pursuant to its accident reporting 

requirements under 49 CFR Part 225. Under 49 CFR Part 225, railroads are required to report to 

FRA each fatality arising from the operation of a railroad on a Form FRA F6180.55a, “Railroad 

Injury and Illness Summary.”

1

 FRA provided and NAM reviewed approximately 2,749 forms 

involving railroad trespasser fatalities occurring between 2005 and 2010.2 NAM conducted 

additional outreach to coroners and chief medical examiners (CME) to obtain additional

demographic information.

NAM sent the requests for further information, along with introductory letters and return 

envelopes, to respective coroners/CMEs for 2,662 of the reported fatalities. In a small 

percentage of the fatalities, NAM was unable to identify the appropriate coroner/CME. At least 

 

1

Form FRA F6180.55a is available at: http://safetydata.fra.dot.gov/OfficeofSafety/publicsite/Forms.aspx. Form 

FRA F6180.55a captures certain information with regard to trespasser casualties arising from the operation of a 

railroad including, but not limited to, location, age, time of day, and, following the 2011 final rule, latitude and 

longitude. 

2

For FRA accident/incident reporting purposes under 49 CFR Part 225, in the FRA Guide for Preparing 

Accident/Incident Reports, FRA defines trespasser as a person who is on the part of railroad property used in 

railroad operations and whose presence is prohibited, forbidden, or unlawful. Employees who are trespassing on 

railroad property are to be reported as trespassers. A person at a highway-rail grade crossing should not be 

classified as a trespasser unless (1) the crossing is protected by gates or other similar barriers, which were closed 

when the person went on the crossing; or (2) the person attempted to pass over, under, or between cars or 

locomotives of a consist occupying the crossing. A person or vehicle that enters the crossing without a physical 

barrier (e.g., gates in a lowered position) is not classified as a trespasser, even when the highway-rail grade crossing 

lights are activated or other warning systems are functioning. The person would be classified as a nontrespasser.

FRA outlines pertinent reporting exceptions in 49 CFR Section 225.15, Accidents/incidents not to be reported.
2

partially completed forms were subsequently returned to NAM for 1,429 (54 percent) of the 

fatalities. Of these returned forms, 1,300 contained only basic information about the decedent 

(i.e., age, gender, ethnicity/race, etc.) so that NAM was only able to include them in simple 

demographic and behavioral analyses. Nine hundred fifty-eight forms contained enough 

information to be included in the more robust market analysis.

According to the information provided by the coroners/CMEs, railroad-trespassers who are 

involved in fatal incidents on railroad rights-of-way are most typically identified as White males 

who are possibly intoxicated, with a mean age of 38, and with low socioeconomic status. 

Results from some of the demographic analyses were very closely aligned to results from the 

2008 Report. For example, the mean age of decedents in both studies was approximately 

38 years, with individuals ranging in age between 20 and 49 years accounting for two-thirds of 

the fatalities. Also similar across studies was the finding that the vast majority (81 percent in the 

current study and 78 percent in the 2008 Report) of decedents were White (which is well above 

the national average of a 72 percent overall White population). In both studies, the next largest 

race represented was African American/Black at 15 percent (versus the 13-percent national 

average).

An overwhelming theme from the market analysis in the current study is that individuals 

involved in fatal railroad trespassing incidents are likely to be renters in second-tier cities.3 

Decedents typically have lower income and educational levels (marital status was not a factor). 

If the decedent had children in the household (regardless of marital status), the decedent was

likely to be younger, typically in his or her twenties or thirties. There are some decedents who 

are from more rural or isolated areas. These individuals are likely to be somewhat less socially 

engaged and may enjoy being removed from urban areas.

However, slight differences in results between the two reports were also found. Males were 

killed in 82 percent of incidents between the years 2005 and 2010, down slightly from 87 percent

between 2002 and 2004. Similarly, the percent of incidents involving drugs and/or alcohol was 

down slightly from the previous study, with coroners/CMEs indicating just over half (rather than 

about two-thirds in 2008) the incidents involved drugs and/or alcohol.

4

The current study sought additional information in one area with regard to the cause of death for 

these railroad-trespasser fatalities. Specifically, coroners/CMEs were requested to indicate 

whether these trespasser fatalities were ruled a suicide.

5

 Of the railroad-trespasser fatalities that 

 

3

Second-tier cities are typically smaller than and geographically removed from (i.e., not suburbs of) large 

metropolitan areas. They are typically defined as being affordable places to live and work with a stable labor force 

and moderate population growth. Examples of second-tier cities include Indianapolis, IN; Charleston, SC; 

Nashville, TN; St. Louis, MO; San Jose, CA; Salt Lake City, UT; and, Louisville, KY.

4

For a tabular summary of all these demographics, see Appendix A. For a breakout of demographics by FRA 

region, see Appendix B.

5

It is important to note that for the years covered by the current study, suicides and attempted suicides were not 

reportable casualties under 49 CFR Part 225. Therefore, the descriptions, discussions, and statistics regarding 

suicides in the current study represent only a portion of all potential railroad suicides and should be interpreted 

cautiously. 
3

occurred between the years 2005 and 2010, approximately 28 percent were identified by 

coroners/CMEs to be suicides, 60 percent indicated that the event was not a suicide, and 

12 percent indicated that the event leading to the cause of death was undetermined.

6

 While these 

fatalities involve individuals who can also be classified as railroad-trespassers, pursuant to 

49 CFR § 225.41, FRA maintains suicide data in a separate database. Moreover, prior to July 1, 

2011, railroads were not required to report suicide data. However, suicides are sometimes 

captured in the railroad-trespasser category due to contributing factors such as the length of time 

involved in certain casualty investigations and to the sensitive nature of these records. 

Consequently, the discussion in this report regarding rail-related suicides must be considered 

within this context. 

 

6 Coroners/CMEs were asked to indicate whether the fatality reported was the result of suicide. In 8 percent of 

responses coroners/CMEs explicitly stated they could not determine whether the fatality was the result of suicide. 

The response to this question was left blank in an additional 4 percent of returned forms. Together, these represent 

the 12 percent reported above.
4

1. Introduction

1.1 Background

An average of 458 people are killed in railroad-trespasser incidents each year. Between 2005 and 

2010, there were approximately 2,749 trespasser fatalities.

7

 Because trespassers make up the 

leading group of railroad-related fatalities, understanding the circumstances surrounding these 

events and preventing such fatalities is of great importance.

8

 The Federal Railroad Administration 

(FRA) currently requires railroads to submit certain information on its Form FRA F6180.55, 

“Railroad Injury and Illness Summary”, with regard to rail-related fatalities pursuant to 49 CFR 

Part 225. During the course of this study NAM, collected additional demographic information 

directly from the coroners/CMEs in order to gain a better understanding of the deceased.

FRA is charged with ensuring and improving rail safety and commissioned a study in 2008 to 

identify detailed demographic information regarding the decedents in these incidents. FRA and 

other groups used the data developed from the 2008 Report to create new outreach initiatives. 

The 2008 Report was based upon data from fatalities that occurred between the years of 2002 

and 2004. The present study is a followup to that 2008 Report and incorporates a larger data set

of fatalities that occurred between 2005 through 2010.

As with the previous study, the reader should note that results discussed in the following pages 

need to be interpreted within the context of certain caveats. First, the results of the current study 

might or might not generalize beyond the population of those who died in railroad-trespasser

incidents to those who trespassed but did not die. So, caution should be used when making such 

generalizations. Second, because not every coroner/CME jurisdiction in which a fatality 

occurred is represented in the analyses, results might or might not be generalizable to all 

jurisdictions. There is no evidence to suggest that unrepresented jurisdictions are systematically 

different from represented jurisdictions, but nonetheless, caution should be taken when making 

generalizations outside the jurisdictions represented in the current study.

1.2 Concept

The present study constitutes an effort to learn more about decedents in railroad-trespasser

incidents. As Figures 1 and 2 below demonstrate, railroad-trespasser fatalities in the years 2005 

through 2010 occurred throughout the U.S., indicating that FRA’s outreach efforts cannot be 

based on simple geography, but must target a more specific demographic profile. For a tabular 

form of these figures, see Appendix C.

 

7

For FRA accident/incident reporting purposes under 49 CFR Part 225, in the FRA Guide for Preparing 

Accident/Incident Reports, FRA defines TRESPASSER (CLASS E) as persons who are on the part of railroad 

property used in railroad operation and whose presence is prohibited, forbidden, or unlawful. Employees who are 

trespassing on railroad property are to be reported as “Trespassers” (Class E).

8 NOTE: A person on a highway-rail grade crossing should not be classified as a Trespasser (Class E) unless: (1) 

the crossing is protected by gates or other similar barriers, which were closed when the person went on the crossing, 

or (2) the person attempted to pass over, under, or between cars or locomotives of a consist occupying the crossing.

A person or vehicle that enters the crossing without a physical barrier (e.g., gates in a lowered position) is not 

classified as a trespasser, even when the highway-rail grade crossing lights are activated or other warning systems 

are functioning. The person would be classified as a nontrespasser.
5

More than geographical location of railroad fatalities alone, knowledge of demographic variables 

such as age, gender, socioeconomic and family situations, as well as other more psychographic 

variables associated with railroad fatalities will enable FRA to develop targeted educational 

programs. This messaging can then be more efficiently distributed to the appropriate audiences. 

An identified profile, or market analysis, of those who are most at risk for railroad-trespasser

incidents will indicate whom to target for these initiatives. Such a market analysis requires a 

home address for each fatality to which marketing database vendors can append appropriate 

demographic and psychographic data. It is for this purpose that this study was initiated.

Figure 1: Railroad Trespasser Fatalities by State for the years 2005 through 2010
6

Figure 2: Railroad Trespasser Fatalities per 100,000 Population for the years 2005 through 2010

FRA’s Form FRA F6180.55a captures certain, limited demographic information regarding the 

decedent. As such this study worked to gather additional key demographic information through 

correspondence with coroners/CMEs and outside research. These sources included county 

coroner and state CME death reports for decedents’ street addresses, the U.S. Census for 

demographic data associated with home addresses, and commercial databases for consumer 

psychographic data associated with home addresses.

1.3 Objectives 

The major objective of this study is to provide policymakers and other groups with information 

that will enable them to more directly target individuals who are most at risk of being struck by 

trains while trespassing on rail rights-of-way. This is accomplished by generating demographic 

profiles of decedents and generalizing them to the national population. Where the decedent 

profile differs dramatically from that of the U.S. population at large, an opportunity for targeting 

the appropriate audience is identified. In other words, differences between the decedents and the 

U.S. population suggest ways in which those who are most at risk of being involved in railroadtrespasser incidents may be effectively targeted by outreach efforts.

This study is an update to the 2008 Report that incorporated data from 2002 through 2004. The 

present study incorporates data from railroad-trespasser fatalities occurring from 2005 through 

2010. Both this study and the 2008 Report included a survey mailed to coroners/CMEs across 

the country as a means of acquiring the home addresses of incident decedents, which are 

necessary to acquire the additional demographic and psychographic variables for developing the 

profile of at-risk individuals. 
7

2. Methodology 

2.1 Survey Development

The survey sent to the coroners/CMEs associated with each fatality was modeled on the survey 

included in the 2008 Report. It included a letter from NAM explaining the purpose of the survey 

(to acquire home addresses and other demographic information associated with each railroad

trespasser fatality) as well as an explanatory letter from the FRA (see Appendices D and E for 

copies of these letters9). In each letter, NAM explained to the coroners/CMEs that it would 

retain all personal identifying information and that data collected during the study would only be

provided to the FRA and the public in the summary form.

The survey itself (Report of Railroad Trespasser Death) included a top and bottom portion (see 

Appendix F). The top of the form included information on each fatality obtained from the FRA 

database, including the location of the incident, the date of the incident, the age of the decedent, 

and any circumstances associated with the fatality. The bottom of the form requested 

coroners/CMEs to offer any additional information they had on the decedent, including gender, 

ethnicity, home address, whether drugs and/or alcohol were a factor, etc.

2.2 Compilation of Coroner/CME List

NAM collected and compiled the responses from the coroners/CMEs. NAM shared its findings 

with FRA in only the aggregate form and it did not provide FRA with the actual responses from 

the coroners/CMEs. FRA structured the study in this manner to alleviate any concerns of the 

coroners/CMEs about access to and use of their individual responses, contained personal 

identifying information, so as to increase the coroners/CMEs participation. No national list of 

these offices exists, so contact information was collected through an online search. 

Coroner/CME contact information was found for 2,662 (97 percent) of the original 2,749 fatality

reports provided by FRA. In a few instances, no new or updated coroner/CME contact 

information could be identified, so the same names and addresses used in the 2008 Report were 

used. In the end, 564 jurisdictions10 were identified as having at least one fatality between the 

years 2005 and 2010.

2.3 Mailings and Followups

Prior to NAM sending the surveys to the 564 jurisdictions, FRA sent a letter to each jurisdiction 

explaining that it should expect a packet from NAM containing surveys addressing one or more 

railroad-trespasser fatality reports. Two days after FRA sent its letter, NAM sent the packets. 

Each packet contained a second introductory letter, this one on NAM letterhead, describing in 

detail what information needed to be collected and why. Also in each packet was a partially 

completed fatality report for every railroad-trespasser fatality in the respective jurisdiction 

between the years 2005 and 2010. These forms were partially completed using information 

contained in FRA’s accident/incident database and that was reported by the railroads to FRA. 

 

9 Copies of followup letters sent later in the project are not included as appendices in this report because, with the 

exception of some very minor edits (such as the date), the letters were identical to the originals.

10 Jurisdiction sizes, the geographical regions for which a coroner/CME is responsible, vary from State to State. 

Depending on the State, a coroner/CME jurisdiction may consist of a single county, only a part of a single county, 

multiple counties, or even the entire State.
8

Finally, each packet also contained a stamped, return envelope in which the coroner/CME was to 

return the completed forms.

After 6 weeks, NAM began to contact those jurisdictions that had not responded to the survey

request. Contact was made in two ways. First, an email was sent to every jurisdiction for which

an email address could be found in the initial Internet search. This represented over 

200 jurisdictions. Then, a NAM representative made phone calls to non-responding 

jurisdictions. Due to the sheer number of jurisdictions that had not responded, calls could not be 

made to every jurisdiction. Instead, calls were prioritized on the basis of the number of fatalities 

in each non-responding jurisdiction, with those having the most fatalities being called first.

Twelve weeks after this initial followup, FRA sent a second introduction/request letter to those 

jurisdictions that had at least 5 fatalities and had still not responded.

11

 Two days later, NAM sent 

a second packet containing the same materials included in the initial mailing. In total, 

698 fatality reports were sent to 53 jurisdictions in this second followup effort.

As will be discussed in more detail below, throughout this process, representatives from a 

number of coroner/CME offices contacted NAM with questions or concerns regarding the forms. 

Some questions were easily answered and coroners/CMEs subsequently returned the forms. 

However, in other situations, it was determined that forms would not be returned to NAM. 

Reasons for these situations are described in Sections 2.4.1 and 2.4.2 below.

2.4 Responses

At least partially completed forms were returned for 1,429 (54 percent) of the 2,662 fatality

surveys originally mailed.

12 This is a very strong return rate and is substantially higher than the 

rate typically expected from internal, mail-based surveys, which is between 30 and 40 percent. 

The 1,429 surveys represented fatalities from 280 (50 percent) of the jurisdictions to which 

forms were originally mailed.

13

 Twenty-three packets (representing 84 fatalities) were returned 

to sender due to incorrect addresses. Of these, 13 were re-sent when updated addresses were 

identified.

NAM also invited coroners/CMEs to complete additional surveys for railroad-trespasser fatalities 

not addressed in the package it received. NAM received 19 additional railroad-trespasser fatality 

reports (just over 1 percent).

2.4.1 “No Record” Responses 

For 129 (9 percent) of the 1,429 responses, coroners/CMEs reported that no record of the fatality

could be found. Although these forms did not contain any demographic information, they were 

 

11 It should be noted that a formatting error with regard to the fatality date occurred on this second mailing. This 

necessitated that all packets for this second mailing were re-sent an additional time with an explanation of the error 

and the corrected fatality date included. 

12 For a detailed breakout of response rates by FRA region and State, see Appendix G.

13 It should be noted that the return rate for the 2008 Report (69 percent) was substantially higher than that achieved 

in this study. However, given that many coroners/CMEs reported dramatic reductions in budgets and staffing for 

their offices since the previous survey was conducted, as well as the fact that a typical response rate for a study such 

as this is much smaller (30–40 percent), the response rate obtained in this study was considered very strong.
9

included in the total response rate because the coroners/CMEs did respond to the survey. 

However, these responses are not included in the subsequent analyses in this report. 

Not all coroners/CMEs reported their reasons for being unable to identify these records. Based 

on the few comments received from coroners/CMEs in these instances, which were consistent 

with to those received for the 2008 Report, NAM identified a few potential causes:

 The railroad may have misreported the location of the incident.

 The decedent may have been transported to another jurisdiction before the official 

pronouncement of death.

 The coroner/CME file may have been misplaced.

 The coroners/CMEs may not have been notified of the incident.

 The coroner receiving the survey was not the coroner at the time of the incident. (Many 

coroners are in elected positions and archived records are not necessarily centralized.) 

2.4.2 Non-Responses

Approximately half of the jurisdictions (284 out of 564) did not return forms to NAM. It is not 

known why the majority of these jurisdictions did not participate. However, based on a number 

of phone and email conversations during followup, the following were common reasons reported 

for not responding.

 Insufficient staffing (this was an especially common response given the current economic 

situation in many States and counties).

 Could not find records by date and time alone—needed decedent’s name (which NAM 

could not provide as it is not information that the railroads are required to submit to 

FRA).

 Some coroners/CMEs stated that providing this information is against State law.

 The requesting entity is required to pay a fee to obtain the requested information (it was 

determined that NAM could provide a large enough sample without going through the 

extra expense of paying for records in these instances).

 Records for older fatalities were not transferred when a new coroner/CME took over.
10

3. Analyses

3.1 The Data

As reported above, 1,429 (54 percent) of the original 2,662 forms were returned. However, only 

1,300 of these forms were partially or wholly completed, so this number will be used as the 

denominator for calculating response rates in the subsequent analyses. Table 1 shows the percent 

of usable data obtained for each of the demographic and circumstantial data elements requested 

from coroners/CMEs. 

Note that street address, one of the most important data elements to the current research, was 

fully completed in only 951 (73 percent) instances.14 NAM did not collect information from 

coroners/CMEs as to why they did not have complete addresses for all decedents. One could 

speculate that certain jurisdictions simply do not collect the information, are not willing to share 

the information, or could not identify the identity/official residence of the decedents. Further 

investigation into this issue would be necessary to determine the reason for this relatively low 

response rate.

Table 1: Response Rates by Survey Item

Category # Complete % Complete

Age15 1,241 95%

Gender 1,297 99.8%

Ethnicity 1,132 87%

Race 1,188 91%

Street Address 951 73%

City, State, Zip 1,052 81%

Alcohol Involved 1,141 88%

Drugs Involved 1,083 83%

Suicide 1,252 96%

Incident 

Description 1,091 84%

Total Responses 1,300

 

14 FRA November 9, 2010, final rule titled, Miscellaneous Amendments to the Federal Railroad Administration’s 

Accident/Incident Reporting Requirements adopted amendments requiring railroads to provide longitude and 

latitude for all trespasser casualties on the Form FRA F6180.55a. 75 FR 68862. 

15 Age data are captured on Form FRA F6180.55a and FRA provided this information NAM. In a very small 

number of cases, coroners/CMEs reported different ages than those provided by the railroads to FRA. However, 

these few changes did not meaningfully impact the results of any analyses so they were not included in the study.
11

4. Response Analyses

Although not every returned form was completed in its entirety, at least some demographic or 

other contextual information was provided on all of the 1,300 usable forms returned by

coroners/CMEs. These data were analyzed independently, compared with results from the 2008 

Report, and also compared to national norms. Because raw data from the 2008 Report were not 

provided, longitudinal comparisons were only possible in some instances. However, as seen 

below, in the vast majority of cases, responses to the current survey were very similar to 

responses in the 2008 Report. Unless noted otherwise, data for all national norm comparisons 

were collected from 2010 U.S. Census data.

4.1 Age

FRA provided age information for 1,241 (95 percent) decedents. The reported decedents’ mean age 

at time of death was 37.9 years. This is very close to the mean age of 37.5 years reported in the 

2008 Report. The median age (not reported in 2008) was 38 years, suggesting the age 

distribution of decedents is close to normal. As seen in Figure 3 below, the distribution of ages 

for railroad fatalities is skewed much younger than the national distribution of living individuals. 

In fact, two out of every three railroad trespassing fatalities occur between the ages of 20 and 49.

Figure 3: Age Distribution of Railroad Fatalities

4.2 Gender

Gender was provided for 1,297 (99.8 percent) of the returned reports. Males represented

82 percent of the railroad-trespasser fatalities for the years included in the current study. As seen 

in Figure 4, this is down 5 percent from the 2008 Report. Despite this modest decrease, the story 

remains that the vast majority of decedents in railroad-trespasser incidents continue to be male. 

This fatality ratio greatly exceeds the national gender ratio in which the number of males and 

females is nearly equal.
12

Figure 4: Decedent Gender

4.3 Gender by Age

Based on the 1,238 responses for which both gender and age were provided, the average age of 

female decedents was 38.2 years, versus 37.9 years for males. As seen in Figure 5, these 

numbers are nearly identical to the numbers collected in 2008. 

Figure 5: Decedent Gender by Age

When comparing age distributions of male and female fatalities as percentages, some important 

differences arise (see Figure 6). In the current study, younger (under 19 years old) and older 

(over 50 years old) women are proportionally more likely to be involved in fatal railroad 

trespassing incidents than men in those same age groups. However, men between the ages of 

20–49 are more likely to be involved in such incidents than women in those same age groups. 
13

Figure 6: Decedent Age Distribution by Gender

The pattern represented in Figure 6 above is very similar to that found in the 2008 Report, with 

one major exception. In 2008, there was a large spike in the percent of females between the ages 

of 35 and 39. Clearly, there was no such spike in the current study. Given that the sample size 

(especially of women) in the current study is substantially larger than the 2008 Report, it is 

possible that the spike in the previous study was due to a smaller sample.

Table 2: Incidents of All Kinds as a Leading Cause of Death by Age and Gender

Male Female

Age Rank Count

Percent 

of 

Deaths

Rank Count

Percent 

of 

Deaths

All Ages #3 78,378 6.40% #6 43,524 3.50%

Age 25–34 #1 11,223 37.90% #1 3,365 26.60%

Age 35–44 #1 11,322 23.70% #2 4,743 16.50%

Age 45–54 #3 13,882 12.10% #3 6,472 9.10%

Another important point to consider when comparing the ratio of male and female railroadtrespasser fatalities is the overall likelihood for men or women of certain ages to die from 

accidental incidents of all kinds. In general, as Table 2 above shows, men are more likely to die 

from accidental causes of all types than are women.

16 Nationally, men aged between 25 and 54 

(the ages most at risk in the current study) are 21⁄2 times more likely than women to die from 

accidental causes of all types. In the current sample of railroad-trespasser fatalities, men are 

more than 41⁄2 times more likely than women to be killed. This suggests that men are much more 

likely to be involved in fatal railroad-trespasser incidents than would be expected based on 

 

16 Data taken from the Center for Disease Control’s National Vital Statistics Report dated June 6, 2012. Data are 

current as of the end of 2008.
14

national accidental death statistics. As discussed below, the high proportion of suicide-related 

railroad fatalities likely explains at least some of this increased likelihood.

4.4 Ethnicity

As the classification of “Hispanic” is self-identified, identifying decedents as Hispanic is 

somewhat tenuous. On the fatality report form, coroners/CMEs were asked to identify whether 

or not the individual was Hispanic. As there was no way to verify this designation, this data 

must be considered with caution. 

As stated previously, 87 percent of the returned forms included a response to the ethnicity. 

Figure 7 shows 16 percent of the decedents in the current study were classified as Hispanic and 

84 percent as non-Hispanic or Latino. The number of non-Hispanic decedents is up very slightly 

from the 2008 Report but is now directly in line with the national average, suggesting that 

persons who are killed in railroad-trespasser incidents are no more likely to be Hispanic/Latino

than would be expected based on population norms.

Figure 7: Decedent Ethnicity

4.5 Race

Of the completed fatality report forms, 91 percent included a response on the race classification 

question. As was the case in 2008, the population in the current study is decidedly more White 

and African American than is the national population.

17

 As seen in Figure 8, 81 percent of 

decedents in the current study are White, up 3 percent from the 2008 Report and 9 percent above 

the national average. Similarly, African American decedents are up 3 percent from the 2008 

Report and are 6 percent above the national average. In the current study, the American Indian 

population more closely represents the national average than it did in the 2008 Report.

 

17 Appendix H contains the chi square analysis, showing that this difference is, in fact, statistically significant.
15

Figure 8: Decedent Race

4.6 Gender by Race and Ethnicity

Of the 1,300 returned forms in the current study, 1,131 (87 percent) contained both gender and 

ethnicity information and 1,188 (91 percent) contained both gender and race information. As 

was the case in the 2008 Report, conclusions made from a race-by-gender analysis are tenuous, 

especially for Native Americans and Asians because of small sample sizes. However, it does 

appear that Hispanic men are proportionally more likely to be involved in fatal railroadtrespasser incidents than are Hispanic women. The gender difference is more muted among 

White men and women in the present study than it was in the 2008 Report. Table 3 below shows 

the total number of fatalities for both men and women across race and ethnicity, as well as the 

ratio of men to women for both the current study and the 2008 Report.

Table 3: Decedent Gender by Race and Ethnicity

Native 

American

Black White Asian Hispanic*

Female 5 27 177 2 14

Male 18 150 786 16 166 

Total 23 177 963 18 180

2012 Ratio 

M/F

3.6 5.6 4.4 8.0 11.9

2008 Ratio 4.3 7.6 6.5 3.0 9.1

*Hispanic ethnicity is not mutually exclusive of other racial divisions in table.
16

4.7 Alcohol and/or Drugs

Of the 1,300 returned forms, 88 percent identified whether alcohol was involved in the fatalities

and 83 percent identified whether drugs were involved.

18

 Coroners/CMEs had the option of 

selecting “yes,” “no,” or “unknown” in response to these questions. For purposes of this 

analysis, in the instances where no response was received, the “unknown” response option was 

assumed. 

Using this conservative methodology, it can be stated confidently that at least 52.4 percent of all 

incidents involved either alcohol and/or drugs. This number is down slightly from the 

2008 Report that reported 56.7 percent. Using a more liberal approach, in which nonresponses 

are not recoded to “unknown,” but rather omitted from analysis entirely, the percentage of 

incidents in the current study that involved either alcohol and/or drugs increases to 59.4 percent, 

also down from the 2008 Report at 66 percent. 

The following table (Table 4) represents a more granular look at the involvement of drugs and/or 

alcohol using both the conservative approach (recoding missing data to “unknown”) and the 

more liberal approach (omitting missing data from analysis) described above.

Table 4: Drugs and/or Alcohol and Involvement in Incident

Conservative Approach More Liberal Approach

Yes No Yes No

Drugs and/or 

Alcohol

52.4% 34.2% 59.4% 40.5%

Alcohol only 44.0% 43.7% 50.1% 49.8%

Drugs only 19.1% 64.0% 22.9% 76.8%

Both 10.7% 71.9% 12.9% 86.8%

4.8 Type of Incident

Coroners/CMEs were provided the opportunity to describe the circumstances surrounding the 

fatality. Specifically, they were asked to describe what the decedent was doing or trying to do at 

the time of the incident. Eighty-four percent of the forms contained at least some type of 

description. Each of these responses was categorized into one of 12 categories.

For the sake of consistency, the same categories were used in the current study as were used in 

the 2008 Report19. Table 5 below represents the frequency of occurrence in each category for 

both the 2008 and 2012 studies. A complete list of responses and their assigned categories is 

included in Appendix I.

 

18 It should be made clear that this only indicates whether drugs or alcohol were involved at some level in the 

incident and not whether the drugs or alcohol were the cause or a significant factor in the incident.

19 It is especially important to note in collecting data that was used as the basis for the 2008 Report, FRA did not 

directly ask whether a fatality was the result of a suicide (as was done for this study) rather the contractor calculated 

the approximate number of trespasser fatalities that were fact suicides based upon information returned by the 

coroner/CME. However, it is important to compare and analyze the data between the two reports to the extent 

possible to gain a better understanding of trespasser casualties. 
17

Categorization of this sort is subject to a fair amount of error because it involves a large degree 

of subjectivity. So, making major causal conclusions based solely on differences identified in 

Table 5 is discouraged. 

Table 5: Incident Description Frequencies

Category Explanation 2012 

count

2008 

count

2012 

pct

2008 

pct

Across Walking or running across track(s) 93 62 8.5% 6.6%

ATV ATV, dirt bike, snowmobile, etc. 16 18 1.5% 1.9%

Bridge Involved a bridge or trestle 21 13 1.9% 1.4%

Foul 

Play

Foul play suspected 3 4 0.3% 0.4%

Other Insufficient information to categorize 174 128 15.9% 13.7%

Outside Appeared to be walking or standing outside track 

gauge

41 20 3.8% 2.1%

Riding Riding or getting on or off train 31 46 2.8% 4.9%

Sleeping Sleeping, lying, reclining, lounging, sitting on 

track or in gauge

234 186 21.5% 19.9%

Suicide Coroner/CME used the word “suicide” or 

“intentional” in describing incident

88 167 8.1%* 17.9%

Probable Probable suicide, but not so indicated by 

Coroner/CME20

100 49 9.2%* 5.2%

Vehicle Involved a truck or automobile 40 24 3.7% 2.6%

Walking Walking, standing on track 250 218 22.8% 23.3%

Total 1091 935

*Although the current study also included a question directly addressing whether the incident was determined to be 

a suicide, to maintain consistency across reports, this subjective categorization method was also used. A more 

robust discussion on suicides can be found in section 4.9 of this report.

At least two categories in Table 5 above seemed to have a set of very distinct subcategories. The 

Sleeping category title, for example, is a bit misleading because in fact only 16 percent of the 

234 incidents actually involved a decedent who was asleep or passed out on the tracks. The 

remaining majority of these incidents consisted of persons who were either laying or lying on the 

tracks (51 percent) or were sitting on the tracks (32 percent).

 

20 As indicated above, in 2008, coroners/CMEs were not directly asked whether a trespasser fatality was ruled a 

suicide. Rather, Cadle Creek Consulting categorized certain fatalities as suicides based upon information contained 

in the coroners/CMEs responses (or on the Form FRA F6180.55a). During the current study, coroners/CMEs were 

directly asked whether a fatality was ruled a suicide, and those numbers are listed in the suicide category. However, 

to maintain statistical consistency across reports, “probable suicides” are also identified and listed in a separate 

category. This category represents fatalities for which the coroner/CME did not state that the fatality was the result 

of suicide but verbiage contained in the coroners/CMEs response (or on the Form FRA F6180.55a) led NAM 

personnel to believe the act was likely intentional. This report separates suicides from probable suicide because, for 

FRA’s reporting purposes, a fatality is only considered a suicide if a coroner or other public authority rules the death 

a suicide. See 49 CFR § 225.5. 
18

Similarly, the walking category consisted primarily of persons actually walking along the tracks, 

with 74 percent of the 250 descriptions indicating this. However, the remaining 26 percent of 

incidents in the walking category actually included persons standing, playing, bending over, or 

being stuck on the tracks.

Finally, although the numbers are small, it should be noted that coroners/CMEs indicated 

decedents were listening to music in 1.8 percent of incidents, and the following persons or 

situations were included in just under 1 percent of incidents: deaf persons, bicycles, fishing, and 

walking dogs.

4.9 Suicides

For the years covered by the current study, suicides were not reportable casualties under 49 CFR 

Part 225. As such, the suicides identified during this study represent only those trespasser 

casualties that were reported to FRA as a trespasser-fatality and in which the response from the 

coroners/CMES in fact ruled them suicides. Descriptions and statistics regarding suicides in the 

current study therefore potentially represent only a portion of all railroad suicides and should be 

interpreted cautiously. That being said, the following information is still valuable because it 

provides context to at least a portion of railroad suicides and can be used to help reduce the 

incidence of railroad suicides in the future.

One question specifically addressing suicides was included in the current study that was not 

included in the 2008 Report. When asked whether the incident was determined to be a suicide, 

96 percent responded with either “yes,” “no,” or “undetermined.” For the current analysis, the 

4 percent that had no response were recoded to be “undetermined.”

The data suggest that just over 1 in 4 (27.7 percent) railroad-trespasser fatalities are the result of 

suicide, with an additional 12 percent being undetermined.21 

 

21 For FRA’s reporting purposes, a death is only considered a suicide if a coroner or other public authority rules the 

death a suicide. See 49 CFR § 225.5.
19

Figure 9: Suicide as Cause of Incident

4.10 Suicides by Age and Gender

As can be seen in Figure 10 below, suicides for males follow a similar age distribution as do all 

railroad-trespasser fatalities for males (see Figure 6 on page 12 of this report), with one 

exception. Men, ages 20–29, are relatively more likely to commit suicide than are the other age 

demographics. Females, on the other hand, follow an entirely different distribution when 

isolating suicides than they do for all rail trespasser fatalities in general. The likelihood for 

suicide by train increases as women age, and plateaus at ages 40–59 before falling off 

dramatically. These results, especially for the females, should be interpreted cautiously, 

however, due to a fairly small sample size.

Figure 10: Age Distribution of Suicides by Gender
20

4.11 Drugs and Alcohol as a Factor among Suicides

As was also indicated in the 2008 Report, alcohol is much more likely to be a factor in nonsuicide fatalities than it is in suicides. The current study shows alcohol is involved in only 28

percent of confirmed suicides, compared to 50 percent of non-suicide fatalities. The incidence of 

drugs, however, is consistent across suicides and non-suicides, with 19 percent of both involving 

drugs. 

Overall, a non-suicide fatality is 18-percent more likely to involve drugs and/or alcohol, with 

drugs and/or alcohol being involved in just fewer than 40 percent of suicides, compared to just 

over 58 percent in non-suicide fatalities.
21

5. Market Analysis

5.1 Method of Analysis

A primary goal of the present research was to develop a profile of the individuals most likely to 

become involved in a railroad-trespasser incident. This profile will enable FRA and others to 

begin targeted outreach efforts aimed at individuals most at risk for these incidents. Such a 

profile will be maximally effective if it extends beyond simple demographic profiling and 

includes psychographic characteristics as well. However, given the limited knowledge about 

each of the fatalities available to the FRA, it was necessary for NAM to acquire additional data 

for each fatality from a third-party source. NAM partnered with Acxiom Corporation (Acxiom)

to provide the consumer and psychographic data presented in the following section. A list of all 

of the railroad fatalities from the completed fatality reports was sent to Acxiom for the purposes 

of appending to the demographic data gathered from coroners’/CMEs’ additional publicly 

available consumer and psychographic variables that enabled NAM to better identify the life 

stages, socioeconomic circumstances, consumer behaviors, and attitudes of decedents. It is 

hoped that the information provided in the following section will enable FRA and others to more 

precisely identify segments of the population on whom to focus risk mitigation efforts.

When appending consumer behavior and psychographic data at the individual level, some basis 

for the identity of the individual is necessary. Given that the names of the decedents in this study 

were unknown, NAM and Acxiom approximated identity on the basis of physical mailing 

address. This can introduce some uncertainty to the conclusions drawn about the railroad

fatalities studied in this report, as it is impossible to identify the exact home address in the 

majority of cases. However, because conclusions will be drawn in the aggregate, and not at the 

individual level, this uncertainty is mitigated. Due to incomplete information, matches between 

the list of decedents and Acxiom’s database were made for 958 of the 1,429 returned forms. Of 

those, 655 matched at the Zip+4 level (which includes about 4 households) and 303 matched at 

the general zip code level (approximately 3,000 households). Because names of decedents were 

not solicited in the current study, no matches could be made at the household level. However, 

because of the transient nature of many of the decedents and the age of many of the files, it is not 

likely that a large percentage of incidents would have matched at the correct household level 

anyway.

5.2 Market Analysis Results

Acxiom has identified 70 distinct market segments they call Personicx Clusters. These roll up 

into 21 Life Stage Groups.

1

 These clusters and life stage groups are descriptive of the attitudes,

consumer behaviors, and family and life stages of distinct groupings of individuals in the 

United States. Marketers employ this information as key aspects of their targeting efforts as it 

enables them to design and define campaigns that will be maximally relevant to their target 

audiences. Decedents in the current study mapped into 64 of the 70 clusters and into each of the 

life stage groups. Table 6 below indicates the percent of decedents in the current study who map 

into each cluster, the national norms for each cluster, and an index value.

2

 

1

For a much more detailed description of Acxiom’s market segments, the reader is encouraged to download the 

PersonicX Cluster Perspectives book by following this link: http://www.acxiom.com/site-assets/binder-personicx/.

2

For a similar index of how the current sample indexes to the broader Life Stage Groups, see Appendix J.
22

Table 6: Index of all Personicx Clusters

Cluster Names % of Decedents National Norms Sample Index

KIDS & RENT 11.75% 2.23% 527%

RESILIENT RENTERS 3.24% 0.79% 410%

RESOLUTE RENTERS 5.83% 1.53% 381%

STILL TRUCKIN 2.19% 0.68% 322%

EARLY PARENTS 4.46% 1.39% 321%

DOWNTOWN DWELLERS 5.35% 1.71% 313%

HUMBLE HOMES 3.81% 1.70% 224%

THE GREAT OUTDOORS 2.35% 1.06% 222%

TRUCKIN' & STYLIN' 1.46% 0.80% 182%

MOBILE MIXERS 3.08% 1.73% 178%

HOME COOKING 1.94% 1.22% 159%

MID AMERICANA 1.38% 0.92% 150%

DYNAMIC DUOS 1.30% 1.12% 116%

RURAL RETIREMENT 2.19% 2.05% 107%

ROLLING STONES 1.05% 0.99% 106%

FUN & GAMES 1.70% 1.72% 99%

CARTOONS & CARPOOLS 1.30% 1.38% 94%

SOCCER & SUVS 1.13% 1.36% 83%

URBAN TENANTS 1.86% 2.29% 81%

FARMLAND FAMILIES 0.81% 1.06% 76%

MODEST WAGES 0.32% 0.45% 72%

CHILDREN FIRST 0.89% 1.28% 70%

PENNYWISE PROPRIETORS 0.32% 0.47% 69%

SHOOTING STARS 0.57% 0.87% 65%

SITTING PRETTY 1.30% 2.03% 64%

COLLEGIATE CROWD 1.13% 1.83% 62%

KIDS & CLOUT 0.49% 0.82% 59%

FIRST DIGS 0.65% 1.15% 56%

URBAN SCRAMBLE 0.73% 1.33% 55%

PENNYWISE MORTGAGEES 0.24% 0.49% 50%

SAVVY SINGLES 1.46% 2.97% 49%

THRIFTY ELDERS 0.57% 1.23% 46%

RURAL PARENTS 0.49% 1.11% 44%

METRO PARENTS 0.97% 2.29% 42%

RURAL EVERLASTING 0.73% 1.75% 42%

RURAL ROVERS 0.49% 1.20% 41%

MIDTOWN MINIVANNERS 0.73% 1.82% 40%

COMMUNITY SINGLES 0.32% 0.82% 40%

YOUNG WORKBOOTS 0.24% 0.66% 37%

FAMILY MATTERS 0.41% 1.10% 37%

FULL STEAMING 0.57% 1.69% 34%

MARRIED SOPHISTICATES 0.16% 0.57% 28%

METRO MIX 0.16% 0.57% 28%

CAREER BUILDING 0.49% 1.73% 28%

WORK & CAUSES 0.24% 0.89% 27%

CORPORATE CLOUT 0.49% 1.78% 27%

DEVOTED DUOS 0.41% 1.52% 27%

SKYBOXES & SUBURBANS 0.24% 1.04% 23%

ESTABLISHED ELITE 0.57% 2.74% 21%

SPOUSES & HOUSES 0.08% 0.44% 18%

CLUBS & CAUSES 0.32% 1.88% 17%

SUBURBAN SENIORS 0.32% 1.95% 17%

OUTWARD BOUND 0.16% 0.99% 16%

CITY MIXERS 0.08% 0.65% 12%

SOLID SINGLE PARENTS 0.41% 3.37% 12%

APPLE PIE FAMILIES 0.41% 3.48% 12%

RAISIN’ GRANDKIDS 0.32% 2.79% 12%

PLATINUM OLDIES 0.24% 2.23% 11%

COUNTRY WAYS 0.16% 1.53% 11%

COUNTRY COMFORT 0.16% 1.58% 10%

HARD CHARGERS 0.08% 0.96% 8%

TIMELESS ELDERS 0.08% 1.21% 7%

LAVISH LIFESTYLES 0.16% 2.50% 6%

ACRED COUPLES 0.08% 1.38% 6%

SOLO AND STABLE 0.00% 0.55% 0%

FIRST MORTGAGE 0.00% 0.69% 0%

COUNTRY SINGLE 0.00% 0.70% 0%

SUMMIT ESTATES 0.00% 1.15% 0%

TOTS & TOYS 0.00% 1.64% 0%

CAREER CENTERED SINGLES 0.00% 2.17% 0%
23

This index value indicates whether railroad fatalities are over (higher values) or underrepresented 

(lower values) within particular clusters relative to the national population and will be key in 

determining the profile of the typical railroad fatality. An index value of 100 percent means the 

percentage of individuals in the sample (in this case, decedents in railroad-trespasser incidents) is 

the same percentage as the national average. A number significantly higher than 100 percent

indicates an overrepresentation of that segment in our sample. More importantly to the current 

study, it indicates a market segment in which risk mitigation efforts should be emphasized.

Table 7: Description of Clusters Indexed at 200% or Higher

Kids and 

Rent: 

These lower-income households are a combination of 

singles and married couples, all of whom have children. 

They are mostly renters, living in both single-family and 

multi-family apartment buildings.

Income: Low

Net worth: <$5k

Urbanicity: City & Surrounds

Marital Status: Single/Married

Age: 30–45

Resilient 

Renters: 

Resilient Renters represents singles with high school and 

vocational/technical educations. At a mean age of 39, they 

are renters in the second-tier cities and, if employed, earn 

lower wages in service and clerical positions.

Income: Lowest

Net worth: <$5k

Urbanicity: City & Surrounds

Marital Status: Single/Married

Age: 36–45

Resolute 

Renters: 

This mix of late 30-/early 40-year-olds is single and has no 

children. They tend to be relatively mobile renters and are 

on the lower rungs of income and net worth.

Income: Low Middle

Net worth: <$5k

Urbanicity: City & Surrounds

Marital Status: Single

Age: 36–45

Still 

Truckin’:

These lower-income households comprises singles in their 

mid-50s. They are homeowners living in rural parts of the 

country.

Income: Low Middle

Net worth: $10k-$999k

Urbanicity: Rural

Marital Status: Single

Age: 46–65

Early 

Parents: 

At a mean age of 25, Early Parents represents one of the 

youngest of the clusters. It contains single and married 

parents in their mid-20s whose spending habits and leisure 

time are heavily influenced by their young children and 

living within their means.

Income: Low

Net worth: <$50k

Urbanicity: City & Surrounds

Marital Status: Single/Married

Age: 18–29

Downtown 

Dwellers: 

Downtown Dwellers is a group of lower-income, single, 

downtown-metro renters. This upper-middle-aged, high

school and vocationally/technically educated group makes 

ends meet with low-wage clerical and service jobs.

Income: Low

Net worth: <$10k

Urbanicity: Downtown Metro

Marital Status: Single

Age: 46–65

Humble 

Homes: 

Humble Homes comprises small-town couples in their 

mid- to upper-50s. They are long-time homeowners 

working in a mix of white-collar and blue-collar jobs.

Income: Low

Net worth: <$500k

Urbanicity: Suburbs & Towns

Marital Status: Married

Age: 46–65

The Great 

Outdoors: 

The Great Outdoors households are young empty-nest 

couples living in very rural areas. They enjoy rural and 

solitary pursuits.

Income: Low Middle

Net worth: <$10k-$999k

Urbanicity: Rural

Marital Status: Married

Age: 46–65

The clusters that index at least two times higher than national norms (i.e., those with index 

values of at least 200 percent) are detailed in Table 7. Descriptions in the table are taken directly 

from Acxiom’s Personicx Cluster Perspective publication (referenced in footnote 23). A 
24

complete list of cluster descriptions can be found in Appendices K and L. In addition, a more 

detailed list of how decedents mapped into specific clusters can be found in Appendix M.

Some key conclusions may be drawn from a review of the clusters on which decedents in 

railroad-trespasser incidents index higher than the norm. An overwhelming theme from this 

analysis is that these individuals are likely to be renters. The rental units may be single- or 

multi-unit dwellings and are typically located in second-tier cities. Decedents typically have 

lower income and educational levels and marital status is not a factor. If they have children in 

their household (regardless of marital status), they are likely to be younger, typically in their 

twenties or thirties. There are some decedents who are from more rural or isolated areas. These 

individuals are likely to be somewhat less socially engaged and may enjoy being removed from 

urban areas.

5.3 Market Analysis Conclusions

The results of the marketing analysis suggest two potential marketing targets for FRA’s efforts to 

reduce the number of railroad fatalities. The first would be younger, lower income, urban renters 

in second-tier cities with railroads. The second would be lower income, rural homeowners who 

are likely to be empty-nesters or couples with no children. In either case, it is recommended that 

FRA focus on educational programs related to the potential dangers of the railroad lines that are 

in the local vicinities of the areas in which these individuals live. Given the number of incidents 

associated with the fatalities studied in this report that are related to things such as walking along 

or crossing over railroad lines, it is likely that the vast majority of these incidents occurred near 

the decedents’ homes. 
25

6. Findings

On the basis of the findings of the present study, we can draw several general conclusions about 

the characteristics of decedents in railroad-trespasser incidents.

1. Decedents in railroad-trespasser incidents are much younger than national norms, with 

two-thirds of decedents being between the ages of 20 and 49 and an average age at death 

of approximately 38.

2. Decedents in railroad-trespasser incidents are highly likely to be male (82 percent of the 

time), though this trend has seen a modest decline of 5 percent from the previous study. 

When examining the age by gender interaction, it may be seen that a relatively higher 

proportion of fatalities at younger (under age 19) and older (over age 50) ages are female, 

and a relatively higher proportion of fatalities in ages 20–49 are male.

3. Race does play a role in railroad-trespasser incidents. Whites and African Americans are 

overrepresented among fatalities relative to national norms. Hispanics/Latinos, American 

Indians, Asians, and Pacific Islanders are all represented at levels expected based on 

national norms. Though males remain predominant among fatalities, the male to female

ratios for Whites and African Americans has decreased somewhat from the 2008 Report.

4. Drugs and/or alcohol are associated with approximately half of all railroad fatalities.

5. The types of incidents associated with railroad fatalities in the current study remained 

largely consistent with the 2008 Report. These included walking along or across railroad

lines, sleeping or sitting on the tracks, and suicide.

6. The present study directly asked coroners/CMEs whether the fatalities were the result of 

suicide. Results indicate that just over one quarter (27.7 percent) of all deaths were 

considered suicides. Fatalities for males ages 20–29 were disproportionately more likely 

to be suicides as compared to the distribution of all male fatalities. For females, the 

proportion of suicides steadily increases through ages 50–59, with older female fatalities 

being much less likely to be suicides.

7. Drugs and alcohol are disproportionately less common among suicides than other railroad

fatalities.

8. Based on the market analysis, it may be seen that railroad-trespasser fatalities are likely 

to be renters. Their rental units are typically located in second-tier cities. Decedents are 

also more likely to come from lower income and educational levels and may be married 

or unmarried. Those decedents who have children are likely to be younger, typically in 

their twenties. A subset of decedents is from more rural or isolated areas. These 

individuals are likely less socially engaged and may enjoy being removed from urban 

areas.
26

Appendix A: Decedent Demographic and Behavioral Profile

Current 

Study

2008 

Study

National 

Norms3

Age

Mean Age at 

Death 37.9 37.5 78.2

Gender

Male % 82% 87% 49%

Female % 18% 13% 51%

Gender by Age

Male Mean 

Age at Death 37.8 37.4 75.9

Female Mean 

Age at Death 38.3 38.3 80.7

Ethnicity

Hispanic 16% 18% 16%

Not Hispanic 84% 82% 84%

Race

White 81% 78% 72%

Black/African 

American 15% 16% 13%

American 

Indian 2% 5% 1%

Asian 2% 2% 5%

Native 

Hawaiian

0% 0% 0%

Other 0% 0% 9%

Gender by Race (M/F Ratio)

White 4.4 6.5 NR

Black/African 

American 5.6 7.6 NR

Hispanic 11.9 9.1 NR

Alcohol/Drugs4

Drugs and/or 

Alcohol 52% 57% NR

Alcohol 44% NR NR

Drugs 19% NR NR

Both 11% NR NR

Suicide5

Yes 28% NR NR

No 61% NR NR

Unconfirmed 12% NR NR

 

3 Life expectancy data are from World Bank 2010; represents life expectancy at birth.

4

Percentages in this category represent confirmed incidents involving drugs and/or alcohol. Therefore, these are 

conservative numbers. For a discussion of why the numbers might justifiably be higher, see section 4.7 on pg. 15.

5

Suicide data in 2008 Report are estimates based on text descriptions of incidents. Therefore, they are not included 

in this table because they do not compare.
27

Appendix B: Demographics by FRA Regions

I II III IV V VI VII VIII Total

Forms Sent 298 390 583 345 274 130 503 139 2662

% Returned 43% 58% 68% 54% 12% 45% 71% 32% 54%

M Count 22 167 319 123 26 45 265 34 1001

M Pct 19% 83% 85% 80% 84% 83% 81% 81% 77%

F Count 91 35 56 30 5 9 62 8 296

F Pct 81% 17% 15% 20% 16% 17% 19% 19% 23%

Mean Age 39.4 36.2 39.1 37.7 36.0 38.0 39.0 34.6 37.9

# Hispanic 17 8 30 5 4 6 105 5 180

% Hispanic 21% 5% 10% 4% 15% 12% 33% 14% 16%

# Not Hisp. 64 164 281 130 23 46 212 31 951

% Not Hisp. 79% 95% 90% 96% 85% 88% 67% 86% 84%

# American Indian 1 0 2 2 0 4 13 1 23

# Asian 3 0 2 2 0 1 10 0 18

# Black 6 22 91 9 8 2 37 2 177

# Pac. Islander 0 0 0 0 0 0 2 0 2

# White 91 174 264 132 21 43 203 35 963

# Other 0 0 3 0 0 1 1 0 5

% American Indian 1% 0% 1% 1% 0% 8% 5% 3% 2%

% Asian 3% 0% 1% 1% 0% 2% 4% 0% 2%

% Black 6% 11% 25% 6% 28% 4% 14% 5% 15%

% Pac. Islander 0% 0% 0% 0% 0% 0% 1% 0% 0%

% White 90% 89% 73% 91% 72% 84% 76% 92% 81%

% Other 0% 0% 1% 0% 0% 2% 0% 0% 0%

Useful Addresses 79 190 193 139 25 52 240 33 951

# Alcohol 37 109 180 62 14 30 123 17 572

% Alcohol 51% 62% 53% 47% 50% 61% 40% 53% 70%

# Drugs 22 36 62 31 8 13 68 8 248

% Drugs 31% 23% 20% 24% 31% 28% 22% 24% 30%

# Suicide 112 194 354 150 29 50 324 39 1252

% Suicide 32% 28% 21% 41% 14% 32% 32% 26% 28%

Age

FRA Region*

Gender

Suicides

*FRA Regions are defined on the next page

Alcohol/Drugs

Street Address

Race

Ethnicity
28

Map was taken from FRA Web site on December 13, 2012. Note that three States: Wyoming, Illinois, and New 

Jersey are each split into two regions in the map above. However, due to data limitations, states could not be split 

into multiple regions for the current analysis. Therefore, all of Wyoming was included in Region 8, all of Illinois 

was included in Region 4, and all of New Jersey was included in Region 1.
29

Appendix C: Trespasser Fatalities by State (2005–2010)

State 2010 

Population Fatalities Fatalities per 100,000 capita

Alabama 4,779,736 39 0.82

Alaska 710,231 3 0.42

Arizona 6,392,017 75 1.17

Arkansas 2,915,918 25 0.86

California 37,253,956 406 1.08

Colorado 5,029,196 23 0.46

Connecticut 3,574,097 46 1.29

Delaware 897,934 9 1

District of 

Columbia 601,723 4 0.66

Florida 18,801,310 189 1.01

Georgia 9,687,653 81 0.84

Hawaii 1,360,301 0 0

Idaho 1,567,582 6 0.38

Illinois 12,830,632 169 1.32

Indiana 6,483,802 66 1.02

Iowa 3,046,355 13 0.43

Kansas 2,853,118 29 1.02

Kentucky 4,339,367 41 0.94

Louisiana 4,533,372 62 1.37

Maine 1,328,361 5 0.38

Maryland 5,773,552 58 1

Massachusetts 6,547,629 60 0.92

Michigan 9,883,640 47 0.48

Minnesota 5,303,925 31 0.58

Mississippi 2,967,297 32 1.08

Missouri 5,988,927 52 0.87

Montana 989,415 18 1.82

Nebraska 1,826,341 13 0.71

Nevada 2,700,551 16 0.59

New Hampshire 1,316,470 1 0.08

New Jersey 8,791,894 89 1.01

New Mexico 2,059,179 49 2.38

New York 19,378,102 90 0.46

North Carolina 9,535,483 110 1.15

North Dakota 672,591 3 0.45

Ohio 11,536,504 118 1.02

Oklahoma 3,751,351 29 0.77

Oregon 3,831,074 30 0.78

Pennsylvania 12,702,379 138 1.09

Rhode Island 1,052,567 7 0.67

South Carolina 4,625,364 55 1.19

South Dakota 814,180 2 0.25

Tennessee 6,346,105 36 0.57

Texas 25,145,561 109 0.43

Utah 2,763,885 6 0.22

Vermont 625,741 0 0

Virginia 8,001,024 33 0.41

Washington 6,724,540 70 1.04

West Virginia 1,852,994 30 1.62

Wisconsin 5,686,986 32 0.56

Wyoming 563,626 7 1.24
30

Appendix D: Letter of Endorsement from FRA
31

Appendix E: Letter of Transmittal from NAM
32

Appendix F: Blank Fatality Report
33

Appendix G: Response Rates by FRA Region and State

Records 

Sent

% Received 

Back

Records 

Sent

% Received 

Back

Region 1 298 43% Region 5 274 12%

CT 46 100% AR 25 20%

MA 60 0% LA 62 24%

ME 5 0% NM 49 0%

NH 1 100% OK 29 0%

NJ* 89 15% TX 109 12%

NY 90 67% Region 6 130 45%

RI 7 100% CO 23 43%

Region 2 390 58% IA 13 77%

DC 4 100% KS 29 34%

DE 9 100% MO 52 40%

MD 58 0% NE 13 54%

OH 118 82% Region 7 503 71%

PA 138 62% AZ 75 35%

V A 33 0% CA 406 78%

WV 30 100% NV 16 56%

Region 3 583 68% UT 6 100%

AL 39 46% Region 8 139 32%

FL 189 83% AK 3 0%

GA 81 51% ID 6 33%

KY 41 56% MT 18 33%

MS 32 28% ND 3 0%

NC 110 100% OR 30 0%

SC 55 73% SD 2 50%

TN 36 3% WA 70 40%

Region 4 345 54% WY* 7 100%

IL* 169 53%

IN 66 50%

MI 47 49%

MN 31 58%

WI 32 69%

*States straddle two regions but are only included in one of the 

regions for the current analysis
34

Appendix H: Chi-Square Test of Independence

Comparison of Racial Diversity Among Trespasser Decedents to Racial Diversity in the 

U.S. Population

Total White Black Am 

Indian

Asian All 

Other*

Population 

308,745,538

 

223,553,265

 

38,929,319

 

2,932,248 

 

14,674,252

 

28,656,454

Pop pct 100% 72% 13% 1% 5% 9%

Observed 1188 963 177 23 18 

7 

Expected 1188 860.2 149.8 11.3 56.5 110.3

(O-E)^2/E 152.31 12.29 4.94 12.17 26.20 96.71

*Includes Native Hawaiian in with "Other" and "More than 2 

races"

The total chi-square value of 152.31 is substantially higher than the critical value of 18.5 (p<.001, 4 degrees of 

freedom). Therefore we can conclude that the racial distribution of the current sample is significantly 

different from the U.S. population with 99.9-percent certainty.
35

Appendix I: Coroner/CME Incident Descriptions and NAM Subjective Categories

Coroner/CME Incident Description Event Event 2 N

Walking across tracks Across 27

Crossed tracks while intoxicated Across 4

Homeless man walking across tracks - Blood ethanol=0.098 Across Homeless 1

Common shortcut for college students. Unknown where decedent was coming from or where she was going Across 1

Crossed tracks to urinate in bushes. Was struck by train on way back to play tennis. Across 1

Crossing tracks with babysitter Across 1

Deceased and other youths attempted to cross track when impacted Across 1

Deceased was a student. He and friends were drinking, smoking pot and using "magic mushrooms" when he wandered into 

the path of a ladder of a rail car as the train was passing him. He was found by the next train.

Across 1

Decedent fell or walked into morning train and head collided with a rail car while attempting to cross tracks at crossing. 

Ethanol level .16 - Drugs - Positive for marijuana and tricyclic antidepressants

Across 1

Decedent had a history of alcoholism, substance abuse, and transvestism. Conductor saw him struggling with the bike, like a 

foot pedal was caught on the rail. He did not move quickly and was struck.

Across 1

Decedent had reportedly walked across the railroad tracks and was struck by plow extending from side of train. Across 1

Decedent tried to "beat the train" by crossing the tracks in front of it Across 1

Decedent waiting for train at station when her dog ran across the tracks, decedent ran after the dog and was struck by train 

approaching the station. All witnessed by bystanders and engineer.

Across 1

Decedent was at a party. Drove car. Left car and crossed tracks. - Peripheral blood ethanol=0.238 Across 1

Decedent was at trespasser crossing with train in-bound - Tried to cross crossing, struck by train. - High blood alcohol and 

numerous drugs

Across 1

Decedent was intoxicated and had to cross the tracks to get home. His wife was yelling at him telling him the train was 

coming, but didn't listen.

Across 1

Decedent was walking his bicycle eastbound across railroad tracks. Decedent was waiting for a northbound train to pass and 

stepped in front of a southbound train. Struck and thrown.

Across 1

Decedent was walking or running across tracks and fell, hitting his head. Across 1

Decedent witnessed leaving bar and crossing tracks, where he was struck. Alcohol level .223 Across 1

Going to his farm equipment on other side of tracks misjudged distance/time Across 1

He left a bar to walk home. In the past he talked about jumping between cars of the train to get to the other side of the track. 

He was found next to the west rail of the track. It is not clear how he was struck by the train.

Across 1

In custody, handcuffed prisoner ran from officer and struck by train - Marijuana Across 1

Intoxicated and hit while attempting to cross track - may have been confused by a nearby train Across 1

It appeared that victim was attempting to cross tracks to go to work and fell on tracks in front of train Across 1

Looked one way when crossing tracks, saw train, fled in the direction of another train Across 1

Operation a pedacycle traversing railroad swing arms and collided with train Across 1

Had known orthopedic problems. Would walk across tracks daily. Crossed tracks in a non-crossing area. Across 1

Reportedly left a fenced in yard and was crossing tracks with others to throw rocks into a pond. Across 1

Reportedly tried to beat train while crossing tracks Across 1

Seen crossing track from right to left prior to impact. Drugs: methorphan, caffeine Across 1

She was attempting to free a stroller, with her baby in it, from the tracks. Across 1

Struck by train while crossing tracks. History of mental health issues but no indications that classify death as suicide. Manner 

could not be determined.

Across 1

Subject and a friend were trying to beat the train. The friend made it across and subject was struck. Across 1

Subject crossing tracks and did not appear to notice oncoming train Across 1

Subject crossing tracks. Waited for one train to pass and did not notice train in opposite direction. Subject struck on E/B line Across 1

Subject reportedly drinking, crossed railroad tracks and stopped in front of an incoming train Across 1

Subject was in an altercation with police and tried to cross tracks while eluding officers. Across 1

Subject was witnessed to have ran across the tracks, as train approached he jumped in front of it. Across 1

Surveillance tapes show that it is likely this decedent was attempting to cross train tracks Across 1

The decedent was walking home on the railroad tracks and apparently fell. When the train approached and blew the whistle 

the decedent attempted to get off railroad tracks, but could not get out of the way in time and was struck by train.

Across 1

The decedent's bike was possibly clipped by a train as he rode across the railroad tracks. Across 1

Trail hiker - Intoxicated ask to leave local bar not familiar with area last seen walking toward river had to cross tracks to get 

to river - Alcohol - .24

Across 1

Trespasser crossing tracks not at intersection Across 1

Trespasser struck by train. Area used as walkway - fence damaged so people could walk thru Across 1

Trespasser using "shortcut" across RR tracks Across 1

Tried to beat train by running across tracks Across 1

Trying to cross tracks, not at a crossing Across 1

Victim was on the tracks and tried to run off when the train came by - was struck by equipment on the train Across 1

Walked across tracks to cigarettes and walked back across track and was hit. Across 1

Walked around bushes, talking on cell phone, stepped into path of oncoming train. Did not slow down or look at train. Across 1

Walking across tracks when he fell and was hit by a train Across 1

Walking across tracks with a push lawn mower and gas can. Across 1

Walking and attempted to beat the train across the tracks Across 1

Walking on tracks - Train blew horn - Man ran across track and was struck by another train Across 1

Walking, crossing the path of the train. The decedent was deaf and did not hear warnings. He crossed at an angle at an 

unmarked by flashers, signs or audible warnings with his back partially to the moving train.

Across 1

Was sitting on his bicycle waiting to cross tracks. He was watching another train when he started to cross not realizing there Across 1
36

Coroner/CME Incident Description Event Event 2 N

was another coming in opposite direction.

Was spray painting a wall and tried to cross the tracks and was struck by train Across 1

Was walking and traversed around activated railroad crossing gate and collided with train Across 1

Was walking his dog near the tracks. When the train sounded horn, the dog ran across the tracks and he attempted to follow 

and was struck.

Across 1

When a north bound freight train went by, he went around the cross guards and was struck by a south bound. Across 1

Riding a dirt bike ATV 2

Bicycle riding ATV 1

Decedent flipped snowmobile while riding along the tracks. ATV 1

Decedent riding on 4X4 ATV going to work did not see or hear train coming from back ATV 1

Decedent was riding a 4 wheeler on track, hit from behind ATV 1

Driving an ATV ATV 1

Motorcyclist struck by train ATV 1

Operating snowmobile while intoxicated and struck concrete block - Drugs were prescription - not a factor ATV 1

Riding bicycle. Attempted to avoid train. ATV 1

Riding lawn mower on RR tracks ATV 1

Riding M/C & struck railroad tie or rock ATV 1

Road quad onto tracks was attempting to ride off tracks but was stuck. Tried to outrun the train. ATV 1

The decedent was riding a bike on the tracks when he was struck by moving train. The decedent had a Blood Alcohol 

Content of 0.04%.

ATV 1

Unhelmeted operator of a small (mini) motorcycle, traveling westbound, riding between the rails. When he saw train 

approaching, he put his left foot on the left rail and was attempting to clear the motorcycle from the tracks. 

ATV 1

Was riding an ATV along railroad track rolled down a hillside being pinned under the ATV died from compressional 

asphyxia.

ATV 1

Walking on railroad tracks over bridge Bridge 2

Decedent was fishing on the Railroad bridge and was hit by a train. Bridge Hunting/Fishing 1

Fishing from trestle Bridge Hunting/Fishing 1

Fishing off of the bridge train trestle with his father. Did not hear train approaching. Decedent left the bridge when he saw the 

train, but returned to get items he left behind. Ran toward the end of the bridge, but was struck from behind and fell into the 

water below. He never resurfaced.

Bridge Hunting/Fishing 1

Fishing on top of railroad bridge, struck by train - Ethanol=0.154 G/dL, Butalbital, Metoprolol, Marijuana Bridge Hunting/Fishing 1

Reportedly victim thought to be fishing from the railroad tracks into the creek below when struck by train. Bridge Hunting/Fishing 1

Walking on the Railroad. Decedent was observed walking across the bridge, carrying a fishing pole and a bucket. As she 

approached the north side of the bridge she was struck by the train and knocked onto the bank of the creek below. 

Bridge Hunting/Fishing 1

Female college student was walking home from the local bar scene. She apparently rested underneath a train trestle. She was 

found by police later, dead beside the tracks near the trestle. Massive blunt force injuries c/w trespasser-train collision.

Bridge Sleeping 1

Decedent and friend were walking across railroad bridge. Decedent had lost footing and fell into the river below. He was 

grossly intoxicated.

Bridge 1

Decedent came out from under the road overpass bridge and onto the tracks in front of the train. Bridge 1

Decedent had a verbal argument with his wife earlier this day. A passing motorist saw the man sitting on bridge with his legs 

dangling over. Then he pushed off the bridge.

Bridge 1

Decedent was attempting to cross the rail bridge. Seemed to have trouble walking, but picked up her pace when she was the 

train. 

Bridge 1

Decedent was on the tracks with others spray painting a signal bridge. Decedent was witnessed to run from track #1 to track 

#2 where another Eastbound train was approaching. The decedent ran back to track #1. The engineer applied the brakes but 

struck the decedent.

Bridge 1

Reportedly using the RR tracks and trestle to walk to a jobsite, instead of wading in creek to cross to other side of creek Bridge 1

Sleeping underneath the train bridge Bridge 1

Squatting on tracks on railroad bridge Bridge 1

Subject was driver of a boom truck that lost control and went off a bridge overhead and then struck a train Bridge 1

Subject was walking on the tracks on a railroad bridge when a westbound train came around the curve at 70 mph. The subject 

turned and tried to run westbound back across the bridge.

Bridge 1

Subject was walking with teenage friend on train trestle as train approached and attempted to get out of path of oncoming 

train by climbing onto fence when she fell.

Bridge 1

Decedent and friends were descending stairs in a tower of the bridge. The decedent decided to jump between two portions of 

the platform on the stairs. Fell and was later found in the tower on top of debris and soil

Bridge 1

The decedent had a history of auditory hallucinations. He climbed over a safety fence of a bridge above the railroad, fell onto 

the tracks and struck his head on a rock. He died as a result of the head injury. The trauma to his leg was caused by the train 

post mortem.

Bridge 1

The decedent reportedly was struck by a northbound freight train after she crossed a railroad trestle Bridge 1

The decedent was sitting on the railing of the bridge when he jumped down and began running down the middle of the tracks. 

The train sounded its horn, the decedent never looked back.

Bridge 1

Walking on a train bridge Bridge 1

Walking on railroad bridge Bridge 1

Homicide - Unidentified Person Foul 

Play

1

Reportedly the subject was laying on the tracks covered with a white blanket. It is unknown how or why she was laying on 

the railroad tracks. Coroner's jury at Coroner's Inquest found the death to be a homicide. Police investigation remains open.

Foul 

Play

1

Shooting Foul 

Play

1
37

Coroner/CME Incident Description Event Event 2 N

Struck by train Other 48

Unknown Other 24

Diagnosis: Multiple injuries Other 9

Decedent found on tracks, unwitnessed event. Other 7

Diagnosis: Blunt impact to head and neck Other 3

Diagnosis: Multiple blunt force trauma Other 2

It is unknown what this subject was doing on the tracks Other 2

Trespasser vs. train Other 2

Struck by train while intoxicated and listening to music through earphones Other Headphones 1

Decedent was homeless, lived by the tracks in the woods Other Homeless 1

Drown while hunting Other Hunting/Fishing 1

0.22 BAC Other 1

A train must have struck decedent because the westbound train saw dislocated body parts before they hit them themselves Other 1

Alcohol - .18 Other 1

Alcohol - .187 Drug - Meth & Morphine Other 1

Alcohol - .27 Other 1

Alcohol: 312 mh/dl etoh. Drugs: cannabinoids Other 1

Blood alcohol level .19 Other 1

Body found on track by a train. The train that likely struck him did not have a camera Other 1

Circumstances unknown Other 1

Death ruled an "accident". Multiple drug intoxication was indicated as a "...significant condition contributed to..." decedent's 

death. Unknown why/how subject was at the location. Decedent did reside in the area 

Other 1

Deceased and actions at time of incident are unknown Other 1

Decedent - was reported to have been intoxicated on the phone on tracks Other 1

Decedent came home from work and left without leaving any info Other 1

Decedent found on his side near the eastbound track 4 of the main line. Other 1

Decedent found wedged between the third rail of the track and the north tunnel wall Other 1

Decedent was believed to be living a transient lifestyle at the time. Other 1

Decedent was climbing poles, cutting and stealing wire. No signs of train or electrocution were found. Other 1

Decedent was found beside the tracks with burnt hands from where he had touched some cable lines. It's unclear what he was 

doing when the incident occurred.

Other 1

Decedent was found lying adjacent to a train track already deceased Other 1

Decedent was found near the tracks with obvious damage to arms and legs Other 1

Decedent was laying in the track of train. Evidence suggests he was hit by another train the previous day. Other 1

Diagnosis: Bilateral lower leg and proximal thigh - Train Other 1

Diagnosis: Blunt force injury - Decapitation Other 1

Diagnosis: Blunt transection of body at upper - Trespasser-Train collision Other 1

Diagnosis: Craniocerebral trauma Other 1

Diagnosis: Decapitation - Trespasser-Train collision Other 1

Diagnosis: Multiple crushing blunt force injuries - Train-Trespasser collision Other 1

Diagnosis: Septic shock with multi system organ - Complications of multiple blunt force - Trespasser-train collision Other 1

Drug intoxicated trespasser struck by train. Other 1

Drug use Other 1

Engineer reports hitting subject on multiple track train bed Other 1

Etoh level .08 Other 1

Etoh level .32 Other 1

ETOH=0.211 G/dL, Diazepam, Chlordiazepoxide, Oxazepam Other 1

Exposed to a cold environment Other 1

Fall - Found on above date by train tracks Other 1

Fell or jumped onto tracks Other 1

Found dead in multiple pieces after being run over by train. Apparently in area where tracks are controlled remotely. Other 1

Found lying on the side of railroad tracks Other 1

Found near train tracks - Don't know if she fell or was assaulted - History of prostitution Other 1

Found next to train tracks with injuries consistent with being struck by a train. Other 1

Heavily drinking at bar and left for unknown location Other 1

Hit by train under undetermined circumstances Other 1

Impact possibly not witnessed. Engineer on E/B tracks noted body on tracks and called police Other 1

Ingestion Other 1

Intoxicated man struck by train - Blood ethanol=0.502 G/dL Other 1

Librium and valium were present, but not an elevated concentration Other 1

Likely struck by an earlier train that believed they struck an "air container". Unknown how the decedent was struck or why 

he was on the tracks

Other 1

Marijuana Other 1

Natural - Diagnosis: Atherosclerotic heart disease Other 1

Natural - Diagnosis: Complications of chronic alcoholism Other 1

Natural - Diagnosis: Coronary artery disease Other 1

On cell phone Other 1

On tracks Other 1

Prolonged Cold Exposure Other 1

Shirt over his head moving Other 1
38

Coroner/CME Incident Description Event Event 2 N

Southbound train conductor saw decedent lying dead between northbound rails; appeared to have been struck and killed the 

night prior. Unknown if intentional, ruled as accident.

Other 1

Southbound train observed subject deceased on northbound tracks, struck prior. Unknown what circumstances were when he 

was struck.

Other 1

Subject crushed by railcar wheels Other 1

Subject was found lying next to tracks with injuries consistent with being struck by a train. The death was ruled an accident. Other 1

Subject was found on tracks, history of depression Other 1

The decedent was apparently struck by a northbound freight train around 0200 in the morning. The body was reported this 

morning around 0840. The distance between the point of impact and final resting site between the tracks was 82 feet.

Other 1

The victim was found under dining car of the train. Comments were made he was depressed Other 1

This subject did have problems pertaining mental Other 1

Trespasser struck in back by train - Marijuana found Other 1

Unknown - spotted by a second train engineer (following an earlier train) Other 1

Unknown - thought to be debris on tracks Other 1

Unknown circumstances. Drugs: Antihistamines Other 1

Unknown what deceased was doing at the time he was struck, his body was found by a different train than the one that struck 

him.

Other 1

Unknown what decedent was doing prior to impact. Drugs: Diphenhydramine, Citalopram, Trazodone; Quetiapine, Celexa, 

Flexeril

Other 1

Unwitnessed - Ethanol=0.220 g/dL Other 1

Unwitnessed - Oxycodone, alprazolam, propoxyphene Other 1

Unwitnessed incident. Body found by crew of passing freight train. Alcohol level 1.32 Other 1

Victim found caught in a coupling device between two rail cars Other 1

Victim lying on track, unknown if victim was alive or dead before being hit by train. Manner of death is undetermined. Other 1

Victim seen at comp care/mental hospital Other 1

Walking near tracks Outside 7

Lying down next to the tracks - Struck by train. Outside 4

A log flew off a passing train and struck the decedent , who was lying on a nearby wall. Outside 1

Collecting wire near track when struck. Alcohol: 28 mg/100 gr. Drugs: cocaine, methadone Outside 1

Crossed tracks to the river. Tried to cross back over the tracks. [Others] heard the train whistle, but were mildly aware that 

the train was coming. The deceased might have climbed to the rail bed to get on level surface to stand. Was clipped in the 

head by the train.

Outside 1

Decedent seen walking on the outside ties of the railroad tracks before he was struck from behind Outside 1

Decedent was found dead lying by the side of railroad tracks Outside 1

Decedent was partying with friends. Train engineer found the body lying next to the tracks. Outside 1

Decedent was seen by train crew staggering on the rocks next to the train tracks and appeared to slip into the path of the train. Outside 1

Decedent was sitting on sofa cushion next to west side of the tracks. The decedent appeared to get up and was pulled under 

the train

Outside 1

Detective stated decedent was lying a couple inches from the track, didn't move as train approached Outside 1

Drinking beer with friends. Unable to get clear before being struck by a front step extending from the front of the train 

engine.

Outside 1

Engineer who was operating a westbound train when he noticed the decedent lying on "the right of way" off the track bed. 

Train was placed in emergency mode and struck the decedent with the undercarriage.

Outside 1

Intoxicated trespasser staggering toward tracks carrying open beer - Chest blood=0.248 Outside 1

Leaned in front of train Outside 1

Leaning in to see end of train and hit by train coming other direction Outside 1

Man was standing near the railroad ties, facing away from the oncoming train Outside 1

Performing an environmental study adjacent to tracks Outside 1

Picking up cans next to tracks Outside 1

Sitting on tie next to track, Hit by something projecting from the side of the train Outside 1

Standing on track near stopped train when passing train on adjacent track struck him Outside 1

Struck on buttocks while bent over while standing too close to train tracks Outside 1

Subject is reported to have been sitting on one side of the railroad tracks Outside 1

Subject was lying on the side of the track, cause of death determined to be medication overdose Outside 1

The decedent was last seen alive at approximately 0100 hours. He was found without signs of life at approximately 0930 

hours. The decedent was apparently walking beside the railroad tracks and was struck by a train.

Outside 1

The decedent was standing between two sets of tracks, holding his dog when he was struck from behind by a train that was 

traveling in the opposite direction.

Outside 1

The decedent was standing next to the tracks when she bent forward and was struck from behind by a train going in the 

opposite direction.

Outside 1

Walking along side of tracks, ignoring horn, walked onto tracks facing train Outside 1

Walking along side of tracks, step from train struck decedent Outside 1

Walking in area on private land. Canine activity in area may have moved body after death onto railroad property. No 

indication train was involved.

Outside 1

Was standing by the tracks smoking a cigarette when struck Outside 1

Witnessed using stick to strike freight cars going by. Outside 1

Decedent stepped in front of oncoming train. Probable 7

Decedent placed head and neck on tracks Probable 2

Jumped in front of train. Probable 2

Ran into path of train Probable 2
39

Coroner/CME Incident Description Event Event 2 N

Stepped in front of a moving train with her friend Probable 2

Sitting on side of bridge. Saw train laid down on tracks Probable Bridge 1

Alzheimer's patient Probable 1

Conductor and engineer reported to have seen the subject lying in the fetal position in the middle of the track Probable 1

Deceased turned and looked at the oncoming train, turned away and proceeded to walk in the middle of the tracks Probable 1

Decedent got onto the railroad tracks and laid in front of the train Probable 1

Decedent jumped in front of the train Probable 1

Decedent laid head on railroad tracks Probable 1

Decedent observed to be lying in a fetal position on railroad tracks - per engineer - emergency brakes applied - train unable to 

stop.

Probable 1

Decedent standing in the middle of the track with his hands in the air Probable 1

Decedent stood on tracks and waited for the oncoming train to strike her. Probable 1

Decedent was lying on track, engineer witnessed the subject brace for impact without trying to get out of the way Probable 1

Decedent was observed walking out of nearby tall weeds and lying down on the tracks with his head on one rail and legs on 

the other as a moving train approached. Decedent's home/property borders the RR tracks.

Probable 1

Decedent was on all fours with head resting on the tracks. He was found with drug paraphernalia Probable 1

Decedent was seen sitting and when train approached. He sat up and walked in front of train Probable 1

Decedent was seen to lie down on the railroad track by the train engineer who then ran over him, cutting him in half. Probable 1

Decedent was standing in the middle of the tracks. Train conductor blew horn numerous times, and the person just looked 

away. Conductor pulled emergency brake but still hit the individual. Individual made no apparent attempts to move out of the 

way of the oncoming train.

Probable 1

Dove from RR platform Probable 1

Got drunk at bar, walked to track and lay head on track - Blood=0.220 Probable 1

Had fight. Started walking tracks. Probable 1

Individual was in a fetal position on the track, they sounded the horn but person didn't move and the train was unable to stop. Probable 1

Jumped from overpass onto tracks Probable 1

Jumped from platform just before arrival of train Probable 1

Jumped in front of train (high speed impact) Toxicology unable to be taken Probable 1

Jumped out of a line of trees onto the tracks Probable 1

Jumping under the train Probable 1

Laid down on the tracks Probable 1

Laid on RR tracks in front of train Probable 1

Lay across the tracks with arms crossed over his chest. Probable 1

Lay on tracks and look at approaching train Probable 1

Laying facedown across tracks with sweater or blanket covering head Probable 1

Lying alongside tracks with head next to rail. Both alcohol and multiple CNS depressants in system including tramadol - an 

analgesic - found at twice the maximum therapeutic range threshold

Probable 1

Per deputy coroner’s report, decedent walked to train track, lay down on track. Probable 1

Ran in front of train Probable 1

Ran in front of train. Hx depression. Drugs - Olanzapine Probable 1

Ran toward moving train Probable 1

Reported to have been laying in the fetal position on the tracks Probable 1

RR tracks - Subject ran out in front of view Probable 1

Saw train, ran to middle of track facing train; dove head first on the plow Probable 1

Seated, walked toward train as it approached Probable 1

Seen lying on tracks by conductor. Recently released from drug/alcohol/mental health facility (treated for suicidal ideation) Probable 1

She was standing between the rails facing the train - runs down to her side Probable 1

Sitting on tracks. Looked at the train then turn her back folded her arms across her chest and laid across the tracks. Probable 1

Sprinted into path of train Probable 1

Standing in middle of tracks, facing train. Ignored whistles. Probable 1

Standing in middle of tracks, whistle sounded; deceased put hands over face Probable 1

Standing on tracks and waving Probable 1

Standing on tracks, got down on hands and knees when train got close Probable 1

Stepped onto the tracks and sat down as train was coming Probable 1

Stood beside tracks until train approached, then leapt in front of the train. Probable 1

Stood in middle of tracks in front of oncoming train Probable 1

Stood on tracks approx. 10 secs before train hit him Probable 1

Stood on tracks, ignored horn Probable 1

Struck by train. Cannot exclude suicidal intent (sitting on tracks). Probable 1

Subject is reported to have been standing in front of the train with his arms raised Probable 1

Subject walked onto train tracks into path of oncoming train. Probable 1

Subject was sitting on the tracks facing the train Probable 1

Subject was witnessed sitting by tracks, waiting for train to come. As train approached, subject got up and ran in front of train Probable 1

The decedent laid across the track Probable 1

The decedent was known to seek out trains and train yards in periods of emotional instability. On the date of death, the 

decedent was drinking and using cannabis, and according to friends, experiencing emotional distress. Intention or lack of 

intention was never conclusively determined: some text messages sent by the decedent suggest an intention of suicide. 

However the death was ruled an accident. Witnesses stated that the victim was lying next to the train tracks, not in the direct 

path of a train. As a train approached, the decedent sat up to view it, and was struck in the head by a protruding surface, likely 

the car stairs. The cause of death was massive cranial trauma and de-cephalization. Toxicology tests revealed the presence of 

Probable 1
40

Coroner/CME Incident Description Event Event 2 N

cannabis, and a BAC of .23.

The decedent was observed to leap from platform onto the train tracks. Was then observed walking back and forth and within 

minutes lying beneath the third rail.

Probable 1

The decedent was seated on the tracks with a female friend. They made no attempts to exit the tracks Probable 1

The decedent was sitting on the tracks when he was struck by a moving train. The decedent mad no attempts to get off the 

tracks.

Probable 1

The decedent was sitting on the westbound tracks. When the train sounded its horn, the decedent laid across the tracks. The 

decedent had a history of mental illness.

Probable 1

The decedent was standing in the middle of the tracks with his head down as the approaching train was sounding its horn. 

The decedent looked up, but made no effort to exit the tracks

Probable 1

The decedent was standing in the middle of the tracks, watching the approaching train. The decedent made no attempt to exit 

the tracks before being struck by the train.

Probable 1

The subject was found on the tracks with injuries consistent with being struck by a train. The train was located in the yards a 

short time after the subject was listed as a missing person. He had left unusual notes at his girlfriends.

Probable 1

Train crew saw him lying across tracks looking at train as it approached Probable 1

Train engineer observed the decedent standing alone in the center of the track. Engineer sounded the train whistle but the 

decedent continued to stand alone with his back facing the train and did not move. The train engineer attempted to stop the 

train but was not successful.

Probable 1

Trespasser struck by train. Suggestive but not indicative of intentionality. Probable 1

Walk off platform and laid on tracks Probable 1

Walk out from behind bushes and laid her head on rail. Probable 1

Walked in front of train Probable 1

Walked onto tracks and squatted on the tracks with his back to the oncoming train. Hx of schizophrenia. Probable 1

Walked out of bushes into path of engine. Possibly clipped by plow on engine. Probable 1

Walking from car onto track Probable 1

Walking on track and laid down in front of train Probable 1

Walking on tracks - Train whistle was blown and the decedent waved a sword above his head but made no effort to get off 

the tracks

Probable 1

Walking on tracks - Turned to look at train then turned away and waited for impact Probable 1

Walking on tracks. Turned to look at horn and lights. As train approached, knelt and placed hands on rails. Probable 1

Walking toward train on track Probable 1

Went to tracks and laid down Probable 1

When saw train approaching walked into path of train and hunched down. Probable 1

When train approached, dec. ran onto tracks Probable 1

Witnessed - Exit vehicle and walk directly in front of train Probable 1

Witnessed sitting on tracks - leaned into trains as it struck him. Probable 1

Witnessed to step in front of oncoming train. Alcohol: 23 mg/dl urine. Drugs: Paxil Probable 1

Fell off of train Riding 2

Attempted to jump on to ("board") a moving train Riding 1

Called friend; [said] he will jump off train when it slows down. Found dead - oxycodone, diazepam Riding 1

Climbed on moving train and fell off Riding 1

Dec apparently jumped from train to catch up with friends who had also jumped Riding 1

Deceased was jumping train cars when he grabbed a "hot" wire and fell 15-20 feet off the car into gravel. Riding 1

Decedent had been with friends. He was "kicked out” because he did not have an admission ticket. He was intoxicated. He 

was reported by friends as a missing person. He was discovered dead on the railroad tracks. He may have gotten onto an 

eastbound coal train and fallen off or jumped off at some point.

Riding 1

Decedent was attempting to board train. Riding 1

Detectives believe the subject was riding the train illegally and fell off Riding 1

Fell off moving train. Drowned in a ditch beside the tracks. Riding 1

Fell while attempting to board moving train. Riding 1

Getting off train Riding 1

It appeared that he was trying to hop a train Riding 1

Jumped between moving train cars. He was decapitated and his left lower leg amputated. Riding 1

Jumped off platform at station to pick up bag that fell next to tracks. Was struck by passing train. Riding 1

Jumped off train was struck by another train Riding 1

Per reports decedent was on train and pulled off when leg got caught. Body suffered R/L amputation and other blunt force 

injuries death determined to be blunt force trauma manner as accident.

Riding 1

Possibly getting off the train (near a relative's home) Riding 1

Possibly riding or trying to get off train Riding 1

Possibly trying to hop a west bound train. Decedent had been drinking with friends and was very intoxicated. Riding 1

Riding on flatcar, fell in between cars, onto tracks Riding 1

Riding on top of railcar, struck head on overpass Riding 1

Stepped off or fell onto tracks in between two stopped train cars. Was struck by and ran over by train as it exited the station. Riding 1

Struck by train after falling off platform Riding 1

Subject tried to "jump" a train Riding 1

Subject was riding on cargo train, attempted to jump off, and fell under wheels Riding 1

The decedent jumped, fell, or was pushed from a moving train. Cause of death was multiple traumatic injuries. No next of 

kin, SSN, home address, etc. were ever discovered.

Riding 1

The decedent was standing on the platform, facing an approaching train. As the train reached the decedent's location, the 

decedent bent forward and was struck by the train.

Riding 1
41

Coroner/CME Incident Description Event Event 2 N

The decedent was witnessed by bystanders stumbling around the train platform and then fall onto the train tracks. Bystanders 

attempted to help but a train was pulling into the station. The train tried to stop but was unable to.

Riding 1

Victim fell between two moving container cars being run over by multiple train cars Riding 1

Sitting on train tracks Sleeping Sitting 37

Sleeping on tracks Sleeping Sleeping 18

Laying/Lying on RR tracks Sleeping Laying or Lying 12

Sleeping on the tracks - High alcohol Sleeping Sleeping 5

Laid on the tracks for "fun" while intoxicated Sleeping Laying or Lying 2

Walking tracks; suspect he passed out and was lying on track Sleeping Laying or Lying 2

Sleeping or passed out on tracks Sleeping Sleeping 2

Sitting on cross tie facing away from tracks, listening to music on head phone set. Did not hear train whistle. Sleeping Headphones 1

Sitting on tracks listening to music on headphones Sleeping Headphones 1

Deceased was homeless and was laying on railroad tracks when he was struck by moving train. He had his right arm and foot 

severed. [Taken to hospital] where he died from his injuries.

Sleeping Homeless 1

Lying on tracks - When train sounded whistle the man stood and raised his arms in front of his face - He was struck by the 

train - He was known to fish in the area near the scene

Sleeping Hunting/Fishing 1

21 yr old woman lying on RR tracks. Blood drawn and sent to state crime lab. Results never sent to coroner's office. Sleeping Laying or Lying 1

Body spotted lying on tracks by engineer - uncertain as to which train may have hit him Sleeping Laying or Lying 1

Conductor stated that the decedent was lying on the tracks in a fetal position, he was noted to have moved prior to train strike Sleeping Laying or Lying 1

Deceased observed lying on the south slope of train tracks, head resting on south rail - operator of train blew horn, deceased 

unresponsive - decedent struck by cow pusher on train.

Sleeping Laying or Lying 1

Deceased was laying on track when struck Sleeping Laying or Lying 1

Deceased was lying in the middle of train tracks when struck Sleeping Laying or Lying 1

Deceased was lying on railroad track and struck by train. Sleeping Laying or Lying 1

Deceased was lying on tracks when struck. Sleeping Laying or Lying 1

Decedent apparently laid down on tracks. Drinking heavily and fighting with family and significant other. Known to be 

depressed.

Sleeping Laying or Lying 1

Decedent laid down across railroad tracks - uncertain intentionality Sleeping Laying or Lying 1

Decedent laid on tracks in path of oncoming train Sleeping Laying or Lying 1

Decedent lay on tracks under uncertain circumstances Sleeping Laying or Lying 1

Decedent laying on tracks at time of accident. Walked along tracks before incident. Sleeping Laying or Lying 1

Decedent lying across tracks Sleeping Laying or Lying 1

Decedent was known to drink alcohol. For unknown reasons he went to the railroad tracks and sat on the east side rail with 

his head down, on or between, his knew. He was struck by a northbound train.

Sleeping Laying or Lying 1

Decedent was laying on tracks Sleeping Laying or Lying 1

Decedent was lying across the tracks, the horns and whistles didn't alert him in time and he was struck while moving onto his

side

Sleeping Laying or Lying 1

Decedent was lying between railroad tracks. Hit by train - conductor and engineer did not see decedent as the train ran over 

him.

Sleeping Laying or Lying 1

Decedent was lying between tracks and showed no movement until right before he was struck. Decedent had strong odor of 

an alcoholic beverage emitting from his person and was known to be an alcoholic.

Sleeping Laying or Lying 1

Decedent was lying down on the track Sleeping Laying or Lying 1

Decedent was lying in the middle of the eastbound tracks with both legs draped over the south rail. Sleeping Laying or Lying 1

Decedent was lying on east side of the tracks with his upper back area against the rail. Despite train sounding horn decedent

never moved.

Sleeping Laying or Lying 1

Decedent was lying on the train tracks Sleeping Laying or Lying 1

Decedent was lying on track, unknown reason Sleeping Laying or Lying 1

Decedent was lying on tracks Sleeping Laying or Lying 1

Decedent was lying prone on the east side of the tracks, legs were on the track, train blew the horn, deceased sat up - train hit 

him.

Sleeping Laying or Lying 1

Decedent was lying prone with her shoulders against the railroad tracks. Sleeping Laying or Lying 1

Decedent was reportedly lying parallel to the tracks and was struck from the left side. Sleeping Laying or Lying 1

Decedent was seen lying across Railroad tracks in front of oncoming train. Sleeping Laying or Lying 1

Decedent was seen lying on tracks, attempted to get up when air horn was sounded Sleeping Laying or Lying 1

Decedent was struck by a train while lying on the railroad tracks Sleeping Laying or Lying 1

Engineer stated the subject was lying down on the tracks, subject showed no movement when train approached Sleeping Laying or Lying 1

Engineer stated the subject was lying in the tracks, and tried to move once he saw the train, but did not clear it entirely in 

time

Sleeping Laying or Lying 1

Engineer states the decedent was lying on tracks and made no effort to move Sleeping Laying or Lying 1

Intoxicated lying on the RR tracks Sleeping Laying or Lying 1

Intoxicated, lying alongside tracks at impact at 4:00am - Blood ethanol = 0.199 g/dL Sleeping Laying or Lying 1

Laid on tracks in path of oncoming train Sleeping Laying or Lying 1

Lay on tracks Sleeping Laying or Lying 1

Laying across RR tracks Sleeping Laying or Lying 1

Laying across the train tracks Sleeping Laying or Lying 1

Laying down on tracks Sleeping Laying or Lying 1

Laying on track; also reported as missing person prior to death Sleeping Laying or Lying 1

Laying on tracks Sleeping Laying or Lying 1

Laying on tracks holding leg, couldn't get off track. Sleeping Laying or Lying 1

Laying on tracks. Sleeping Laying or Lying 1
42

Coroner/CME Incident Description Event Event 2 N

Laying on tracks; heard the horn and started running away from train Sleeping Laying or Lying 1

Laying with legs on tracks Sleeping Laying or Lying 1

Lying across RR track. Alcohol - .13 Drug - Meth Sleeping Laying or Lying 1

Lying across the railroad. Uncertain intentionality. Sleeping Laying or Lying 1

Lying across tracks. Alcohol - Meth Sleeping Laying or Lying 1

Lying adjacent to rail of train tracks and was struck by train Sleeping Laying or Lying 1

Lying along railroad tracks Sleeping Laying or Lying 1

Lying beside tracks - related to death on 7/4/06 Sleeping Laying or Lying 1

Lying between railroad tracks. Did not respond to horn. Sleeping Laying or Lying 1

Lying between rails of tracks after being intoxicated at local bar. Sleeping Laying or Lying 1

Lying between rails. Sleeping Laying or Lying 1

Lying between the rails Sleeping Laying or Lying 1

Lying between two sets of railroad tracks. Struck by train. Sleeping Laying or Lying 1

Lying down when struck by train. Alcohol - .199 Drug - Meth Sleeping Laying or Lying 1

Lying inside railroad tracks, alcohol intoxication Sleeping Laying or Lying 1

Lying next to tracks - head on track. Awoke, and attempted to move when struck. Sleeping Laying or Lying 1

Lying next to train tracks with head resting on tracks. Did not respond to train's whistle. Sleeping Laying or Lying 1

Lying on railroad tracks. Sleeping Laying or Lying 1

Lying on the tracks Sleeping Laying or Lying 1

Lying on tracks Sleeping Laying or Lying 1

Lying on tracks - Did not respond to train whistle - Raised his head just before the train struck him Sleeping Laying or Lying 1

Lying on tracks between rails Sleeping Laying or Lying 1

Lying on tracks, had numerous arrests for intoxication. Alcohol - .410; Drugs - 11-nor-delta-9-thc Sleeping Laying or Lying 1

Lying on tracks, no attempt to move. According to friends, decedent sat on tracks all the time. Sleeping Laying or Lying 1

Lying on tracks. Lifted head at sound of the horn but too late. Sleeping Laying or Lying 1

Lying on tracks. Observed being startled and trying to get up. Sleeping Laying or Lying 1

Lying prone on the tracks Sleeping Laying or Lying 1

Lying supine parallel to railroad tracks - made no attempt to move. Sleeping Laying or Lying 1

Motorman saw a male lying face down across the tracks. He tried to stop the train but could not do so in time and he struck 

the unidentified male.

Sleeping Laying or Lying 1

Not clear if decedent passed out and fell down while crossing tracks or fell down while crossing track & remained lying 

down due to injury or alcohol use

Sleeping Laying or Lying 1

Per reports the decedent was seen lying between the tracks. Unknown reasons why? Alcohol found in system. Operator of 

train stated he may have had blood on his head so he may have fallen prior to being hit by train. Cause of death blunt force 

trauma manner is accident.

Sleeping Laying or Lying 1

Person was lying on tracks Sleeping Laying or Lying 1

Probably recumbent on the train tracks, under uncertain intentionality. Sleeping Laying or Lying 1

Reported as missing person, laying on tracks, facing train Sleeping Laying or Lying 1

Resting his head on tracks. Never attempted to move. Sleeping Laying or Lying 1

Seems to have been passed out laying between railroad tracks - Ethanol=0.322 G/dL Sleeping Laying or Lying 1

Seen laying on railroad tracks, by the engineer and conductor. Attempted emergency stop but was unable to avoid hitting 

him. 

Sleeping Laying or Lying 1

Subject seen lying on tracks, unresponsive to whistles Sleeping Laying or Lying 1

Subject was drunkenly lying on train tracks. Engineer blew whistle and the man tried to get up but was hit before he could 

move.

Sleeping Laying or Lying 1

Subject was found dead after struck by train while lying on tracks Sleeping Laying or Lying 1

Subject was laying in the middle of the tracks, didn't move when train was approaching Sleeping Laying or Lying 1

Subject was lying on tracks when struck Sleeping Laying or Lying 1

Subject was lying prone on train tracks when struck by train. Sleeping Laying or Lying 1

Subject was noted to be laying on railroad tracks by train conductor Sleeping Laying or Lying 1

Subject was slumped on train tracks when struck by train. Sleeping Laying or Lying 1

Subject was walking along the train tracks, seen to be lying down when the train hit him Sleeping Laying or Lying 1

Subject was walking home from a bar when he laid down between the tracks and was run over by a train Sleeping Laying or Lying 1

The decedent was laying on the tracks, train began sounding its horn. The decedent got up and began to stagger as he

attempted to exit the tracks. The decedent tripped and fell onto the tracks.

Sleeping Laying or Lying 1

The decedent was reportedly hit by a train when he was lying on the tracks Sleeping Laying or Lying 1

Train engineer stated the decedent was lying on the railroad tracks Sleeping Laying or Lying 1

Train was approaching area when engineer noticed person lying on tracks. Train was able to stop with no impact. Body was 

already deceased.

Sleeping Laying or Lying 1

Victim lying face down on tracks. Sleeping Laying or Lying 1

Victim purchased alcohol earlier in day & was passed out laying on tracks Sleeping Laying or Lying 1

Victim was lying on tracks Sleeping Laying or Lying 1

Victim was spotted by engineer laying on track apparently passed out. The train was unable to stop - hitting the victim Sleeping Laying or Lying 1

Was laying across tracks Sleeping Laying or Lying 1

Was seen lying on tracks, did not move when whistle was blown - Alcohol - .139 Sleeping Laying or Lying 1

While intoxicated the decedent often put himself in dangerous situations. He was seen laying on the tracks and attempted to 

get up when the train horn sounded.

Sleeping Laying or Lying 1

Witnessed by conductor lying across tracks. Alcohol - .25 Sleeping Laying or Lying 1

Witnessed laying on track. Horn sounded with no response. Alcohol - .21 Sleeping Laying or Lying 1

Witnessed laying on tracks - ignored pleas by bystanders. Alcohol - .25 Sleeping Laying or Lying 1
43

Coroner/CME Incident Description Event Event 2 N

Witnessed laying on tracks waiting for train. Emotional issues. Sleeping Laying or Lying 1

24 year old white male walked away after he was involved in a fight. At 5:00AM, he was observed seated between the rails 

of a train track, slumped forward, with his back to the on-coming train. According to the train engineer, the person on the 

tracks never moved or reacted in any way to the approaching train.

Sleeping Sitting 1

Decedent and a friend were sitting on a concrete crosstie supporting the tracks Sleeping Sitting 1

Decedent had been drinking, sitting on tracks. When the engineer blew his horn, the subject stood up, only to sit back down 

again

Sleeping Sitting 1

Decedent was either standing, straddling, or sitting on the tracks Sleeping Sitting 1

Decedent was seen sitting on the railroad tracks consuming alcohol, looked up but did not move as train approached Sleeping Sitting 1

Decedent was seen sitting on tracks, conductor blew horn but was unable to stop in time Sleeping Sitting 1

Decedent was sitting and straddling the east rail, facing the oncoming train, but his head was down. The victim never moved 

and seemed unaware of oncoming train.

Sleeping Sitting 1

Decedent was sitting on tracks - when the horn from train sounded. The man stood up, walked over rail and stood along east 

side of track. The right front side of lead train struck him.

Sleeping Sitting 1

Drinking and sitting on tracks, tried to move from in front of train and fell onto tracks. Sleeping Sitting 1

Engineer witnessed decedent sitting on tracks. Sounded horn. Decedent stood up and was struck. Sleeping Sitting 1

He was sitting on the track. As the train approached, he stood up slowly and stepped back over track, to stand at side. As train 

passed he fell forward, falling under the wheels of the train.

Sleeping Sitting 1

He was sitting on tracks, feet facing south into the tracks. He was resting his head on his hand in propped up fashion. Sleeping Sitting 1

Individual was sitting on tracks - whistle blew X3 - subject did not move Sleeping Sitting 1

On board camera showed decedent sitting on track with no effort to move - chronic alcoholic Sleeping Sitting 1

Passed out while sitting on rail Sleeping Sitting 1

Sitting on railroad tracks with legs inside tracks. About 200 ft from impact the decedent looked up at the train for a moment, 

then turned his head away and remained sitting on the tracks.

Sleeping Sitting 1

Sitting on RR ties drinking beer Sleeping Sitting 1

Sitting on the tracks - Did not react to oncoming train. Positive for cocaine Sleeping Sitting 1

Sitting on the tracks, moving his arms. The action was described as "scooting" along the track. Decedent often rode the trains 

as transportation.

Sleeping Sitting 1

Sitting on track facing train, got up at last minute but not fast enough - Blood ethanol=0.548 G/dL Sleeping Sitting 1

Sitting on track, made no attempt to avoid train or acknowledge train approaching Sleeping Sitting 1

Sitting on tracks - Man made no effort to move Sleeping Sitting 1

Sitting on tracks - no attempt to move. Sleeping Sitting 1

Sitting on tracks - not responsive to train whistle Sleeping Sitting 1

Sitting on tracks - Would walk the tracks which came behind his residence. Sleeping Sitting 1

Sitting on tracks drinking alcohol Sleeping Sitting 1

Sitting on tracks waiting for a fireworks show Sleeping Sitting 1

Sitting on tracks, stood right before train hit him Sleeping Sitting 1

Sitting on tracks. Witnessed accident. Alcohol - .14 Sleeping Sitting 1

Sitting/reclining on the railroad tracks drinking beer. An eastbound train struck deceased, dragging his torso underneath the 

train for 145 ft. Deceased with traumatic leg amputations and brain matter not along the 145 ft. of train tracks.

Sleeping Sitting 1

Struck by train while seated on tracks Sleeping Sitting 1

Subject sat in middle of tracks. He was watching train approach. Had one knee bent up pulled toward chest. Just before train 

hit him he looked away from train toward side of tracks.

Sleeping Sitting 1

Subject was observed to be sitting on the train tracks. When the engineer blew his horn, he looked up but did not move. Sleeping Sitting 1

Subject was reportedly stated to have been sitting on the tracks. Decedent looked up prior to impact. Sleeping Sitting 1

Subject was sitting upright on railroad tracks, as train approached decedent elicited no response. Sleeping Sitting 1

Texting a friend on phone, while sitting on track between rails Sleeping Sitting 1

Train rounded bend, dec. sitting on tracks, horn blew; dec. looked at train but did not move Sleeping Sitting 1

1st train thought it may be debris. Unknown - Found by 2nd train on tracks. May have fallen asleep while walking tracks 

since intoxicated.

Sleeping Sleeping 1

Decedent lying on railroad tracks and appeared to be sleeping - empty beer cans in area - train unable to stop. Sleeping Sleeping 1

Had marijuana in her system (THC: 30ng/mL[+/-14%]) - She was sleeping in sleeping bag on train track. When she heard 

train she raised her head up.

Sleeping Sleeping 1

It appeared that the deceased was passed out on the railroad tracks. He had a history of alcoholism. Sleeping Sleeping 1

Passed out on railroad track with back of head resting on track. - Blood ethanol=0.115 G/dL - Amphetamine=0.053 mg/L Sleeping Sleeping 1

Passed out on train tracks - 0.239 G/dL Sleeping Sleeping 1

Sleeping and laying with head on tracks - unknown Sleeping Sleeping 1

Sleeping between tracks Sleeping Sleeping 1

Sleeping near tracks Sleeping Sleeping 1

Stumbling around, then fell and passed out on tracks. Sleeping Sleeping 1

Subject was lying on the tracks and appeared to be asleep. The train conductor applied the brakes and sounded the horn but 

the subject did not move.

Sleeping Sleeping 1

The decedent was sleeping with his head on the railroad tracks and was possibly intoxicated and struck by a train Sleeping Sleeping 1

Victim was walking down tracking after leaving work - Due to alcohol content passed out inside track Sleeping Sleeping 1

Walking or sleeping? Sleeping Sleeping 1

Decedent intentionally stood in front of moving train. Suicide 5

Witnessed laying neck on rail in front of approaching train Suicide 5

Deceased intentionally stepped into the path of a moving train Suicide 2

Climbed onto trestle to jump into river. Suicide Bridge 1

Hung himself from railroad bridge. Suicide Bridge 1
44

Coroner/CME Incident Description Event Event 2 N

Jumped from railroad bridge Suicide Bridge 1

Homeless man intentionally placed himself in front of train. Suicide Homeless 1

A friend told police wherever he drinks he goes to the railroad tracks or walks the railroad tracks to go to his friend's house at 

an apartment complex. Police state train conductor said body was lying face down across tracks, horn blown several times, 

emergency brakes applied; as they got closer victim turned his body towards train while still lying over the tracks and raised 

his left arm. There should be a video by the train’s video system; our office could not get it to play; needed certain software 

to view. 

Suicide 1

Body found next to the railroad tracks. Just broken up; he had threatened "to jump" He had prior suicidal ideations. Suicide 1

Decedent waiting on track for train, hands over face, legs to the inside of the tracks - engineer blew horn, deceased stood up -

train hit him.

Suicide 1

Decedent walked northbound into oncoming train. Suicide role located in her coat pocket. Suicide 1

Decedent was depressed due to family problems and had been speaking of suicide to friends. He was observed laying on the 

train tracks with his arms crossed on his chest.

Suicide 1

Decedent was observed walking onto the tracks by witnesses and did not respond to train's horns and whistles. Death ruled a 

suicide.

Suicide 1

Decedent was on the railroad track with a stolen car when police were called. Officers arrived and he eventually charged 

them with an upraised knife. He was shot several times and pronounced dead. 

Suicide 1

Decedent was standing on the side of the track and as the train approached, he crawled onto the track and lay across the track. Suicide 1

Decedent was witnessed by onlookers walking briskly towards the edge of the platform and jumped Suicide 1

Depressed - left notes at home - walk onto tracks - turned away from train - covered her face with hands - let train strike her 

from behind

Suicide 1

Drinking; walking tracks; warned train approaching; she was sitting when struck; Prior threat of suicide (ped versus train) Suicide 1

Driver of vehicle that stopped on tracks as a suicidal gesture Suicide 1

Had history MS and depression; got out of wheelchair and went to railroad tracks Suicide 1

He was observed to walk onto tracks, disrobe, and proceeded to walk in path of train (suicide) Suicide 1

History of mental problems - Observed to step in front of train Suicide 1

Hit by train while walking along tracks. Suicide base on previous statements. Suicide 1

Intentionally placed self on railroad tracks Suicide 1

Intentionally walked into path of high speed train. Suicide 1

Jumped out of car at railroad crossing walked down the middle of the tracks (walking south) and the head butted a 

northbound train. Video shows him lower his head and begin to run toward the train.

Suicide 1

Knelt down to tracks in front of oncoming train, suicide Suicide 1

Lay across track in suicide gesture - Blood ETOH=0.181 - Alprazolam 0.052 mg/L (therapeutic level) Suicide 1

Lay down across track in suicide attempt Suicide 1

Letter of intent found - suicide Suicide 1

Lying down on track (suicide) Suicide 1

Lying on tracks - had previously shot self Suicide 1

Lying on tracks with a friend discussing how depressed they were - Friend chickened out before the train go there Suicide 1

Male with history of violent organic brain syndrome, bipolar disorder, no previous suicide attempts. Observed standing in the

middle of the main track, facing an on-coming eastbound train. Engineer blew the whistle several times, but decedent did not 

move.

Suicide 1

No witness to suicide Suicide 1

Placed himself on tracks in front of approaching train Suicide 1

Placed neck on train track while train was stationary and was decapitated once train started moving. Suicide 1

Purposefully walked into moving train. Suicide 1

Rand toward tracks when train came; threw himself on tracks Suicide 1

Recent break up with girlfriend and DUI - Walked in front of train left suicide note Suicide 1

Recent lay off from work and arrest for disorderly conduct Suicide 1

Seated on rail, facing center, with his head between his knees. Suicide 1

Seen at last second by train conductor, lying on the tracks with hand behind his head. Train could not be stopped. Deceased 

was struck. Married, but separated. Wife filed for divorce. Heavy alcohol use. Quit job. Past suicide ideations.

Suicide 1

Seen to lay down on track in front of train. Suicide 1

Self-induced ligature hanging from railroad sign Suicide 1

She had a significant mental health history with Bipolar disorder, and previous attempts and verbalizations of suicide. 

Considering previous mental health history, knowing victim lived very near place of death, the severity of the head trauma, it 

is the MEs opinion that she intentionally ended her life by lying with her head on the railroad track and allowing the train to 

run over her. The death is determined as suicide.

Suicide 1

Sitting on tracks in clear daylight. No response to horn of locomotive. Suicide could not be excluded. Suicide 1

Standing by tracks - laid down on tracks as train approached - Had attempted suicide prior to incident Suicide 1

Stood in front of train waiting for it to strike her. Made no attempt to move from tracks. Suicide 1

Struck by SB train. Several previous suicide attempts. History of drug/alcohol abuse. Suicide 1

Subject placed himself in front of train intentionally. Suicide 1

Subject told family he would kill self by train. Standing on tracks, when engineer blew horn, subject raised arms over head 

and waited for train to strike him

Suicide 1

Subject was observed lying across the tracks and did not try to move Suicide 1

Subject was seen standing by tracks. As train approached, subject laid down on tracks as a suicidal gesture Suicide 1

Suicide: Deceased suffered from bi-polar; prescription bi-polar drugs were found in her system. Suicide 1

The decedent had a long history of suicide attempts. The decedent was standing between the tracks when he was struck by a 

moving train.

Suicide 1

The decedent reportedly ran and laid down in front of an oncoming train Suicide 1
45

Coroner/CME Incident Description Event Event 2 N

The decedent sat down in front of an approaching train. There was a suicide note found at the scene. Suicide 1

The decedent walked down tracks, sat down in between tracks, folded his arms and tucked his head as impact took place Suicide 1

The decedent was seated on the tracks with a male friend. They made no attempts to exit the tracks. Suicide 1

The decedent was sitting on the tracks, between the rails. He lowered his head and made no attempts to move off the tracks. 

A suicide note was later found in his vehicle, which was parked in the area.

Suicide 1

The decedent was walking with her head down, along the side of the tracks. She looked up at the train and placed her thumb 

into the air as the train sounded its horn. The decedent had a history of suicide attempts.

Suicide 1

Threw himself in front of train Suicide 1

Trying to drive car into train, failed. Got out of car and jumped under train Suicide 1

Trying to get killed, lying on tracks Suicide 1

Upset about having to live in this area, and he wanted to move back where he had lived with his son. Suicide 1

Victim just laid on track waiting on the train to hit him. Had express intent a couple of weeks earlier of doing this. Suicide 1

Walked in front of an oncoming train Suicide 1

Walked onto the tracks. Stopped and turned facing the train. No attempt to move. Suicide 1

Walked onto tracks, knelt down and placed head on tracks Suicide 1

Walked out in front of high speed train. Suicide not left. Toxicology unable to be performed. Suicide 1

Walking along tracks - no indication of suicide - high levels (especially in urine) of multiple CNS depressants found in 

system

Suicide 1

Walking on tracks - Waited for the train and then lay his head on the track Suicide 1

Walking on tracks and kneeled in front of train. Suicide 1

Walking on tracks. Deceased never attempted to move. Suicide 1

Was seen talking on the phone then laid down on RR tracks Suicide 1

Witnessed by the engineer to spread his arms while on the tracks while standing. Other witnesses noted he was on his knees, 

Should have been listed as a suicide.

Suicide 1

Witnessed to intentionally walk onto the track of an oncoming train Suicide 1

Driving - vehicle became stuck on tracks Vehicle 3

Motor vehicle struck by train Vehicle 2

Subject was occupant of vehicle that became stuck on tracks. Occupants exited vehicle and were standing next to it when 

vehicle was struck by train. Vehicle then struck subject.

Vehicle 2

As a line of cars stopped for the train to pass, the decedent went around the line of cars and struck the side of the train. The 

vehicle then caught on fire and "completely burned"

Vehicle 1

Belted front seat passenger in a car that purposely went around safety barriers as a train approached - Train struck passenger 

side door

Vehicle 1

Car lost control, spun, and rolled onto the RR tracks Vehicle 1

Car rolled down embankment and landed on tracks. Appeared to be slumped over wheel prior to impact. .108 alcohol level Vehicle 1

Crashed car onto train track then hit by oncoming train. Vehicle 1

Crossing tracks in vehicle Vehicle 1

Decedent's car drove off road, landed on tracks, struck by 2 trains Vehicle 1

Driver of a motorcycle that crashed on the tracks at unknown time then was struck by the train Vehicle 1

Driver of a sedan that left roadway, went down an embankment onto railroad tracks and was struck by train Vehicle 1

Driver of motor vehicle struck by train Vehicle 1

Driving across tracks Vehicle 1

Driving his truck when he was struck on the passenger side by a train traveling east. He was unrestrained. Vehicle 1

Driving SUV across tracks just prior to crossing arms coming down Vehicle 1

Driving truck - did not yield to train Vehicle 1

Drove around RR crossing gates and hit flatbed rail car on train. Vehicle 1

Drove onto train track 170' past intersection Vehicle 1

Fell onto railroad tracks while fleeing scene of auto collision Vehicle 1

Got out of vehicle and crossed the activated railroad crossing gates Vehicle 1

In motorized scooter, waved, but was struck Vehicle 1

Motor vehicle accident, then struck by a train and vehicle Vehicle 1

Operator of auto struck on track, evacuated children passengers, children observed her struck by train Vehicle 1

Passed out in vehicle on RR tracks Vehicle 1

Rollover MVA - rolled into tracks Vehicle 1

Struck by train while driving vehicle across ungated tracks Vehicle 1

Subject suffered from a fatal cardiac event while driving a motor vehicle, car continued on to run into the back of a train and 

ignite. Cause of death is ruled as natural

Vehicle 1

Subject was the driver of a vehicle that drove onto tracks and was struck by a passing train. Vehicle 1

Subject was the passenger of a vehicle being driven by her boyfriend. The driver drove down an embankment to elude police. 

A short time later the vehicle was observed being driven next to some RR tracks. The vehicle flipped over and the subject

was ejected from the car.

Vehicle 1

This is a traffic accident. I wouldn't call it trespassing. Vehicle 1

Unrestrained passenger in car that collided with truck. Vehicle 1

Vehicle had left roadway and was driving on tracks. Vehicle was heading south and hit a train head on traveling north at 

approximately 60 miles per hour. At crossing was second train on separate track waiting for the other train to pass.

Vehicle 1

Vehicle stalled while crossing tracks Vehicle 1

Was standing outside his disabled vehicle when a train struck him and the vehicle Vehicle 1

Witness advised the decent was driving and seemed distracted when train approached he locked his wheels in attempt to stop 

but was too late

Vehicle 1

Walking on or along RR tracks Walking Walking 61
46

Coroner/CME Incident Description Event Event 2 N

Standing on RR tracks Walking Standing 8

Playing "Chicken"--either with friends or alone Walking Playing 6

Struck by train while walking dog. Walking Walking 5

Accident/walking with friends Walking Walking 3

Walking home Walking Walking 2

Hanging out at the tracks placing pennies on track for trains to smash. Tried to move out of the way of the train. Walking Playing 2

47 year old white male was walking east between the two railroad tracks, wearing headphones. A freight train, also headed 

east, rounded a slight curve and struck the decedent. The decedent appeared to respond to the train's horn and step over the 

north track, but was struck before he could exit the track area.

Walking Headphones 1

Decedent was walking along the train tracks when hit from behind. Subject was wearing headphones and listening to a 

portable CD player.

Walking Headphones 1

Decedent was walking on the tracks with a friend, listening to music. Struck from behind by the train. Walking Headphones 1

Standing on tracks - prob with music playing - earphones and ipod found. Back was to train. Walking Headphones 1

Subject was reportedly noticed to be walking along the railroad tracks. He apparently had on a set of headphones listening to

music.

Walking Headphones 1

The decedent was walking with an umbrella on the northbound tracks, when he moved off the northbound tracks to avoid an 

oncoming train. He stepped directly into the path of a southbound train. He was wearing headphones and a walkman.

Walking Headphones 1

Walking along tracks wearing headphones Walking Headphones 1

Walking along tracks with iPod/headphones on Walking Headphones 1

Walking on railroad track with earphones on. Struck by train. Walking Headphones 1

Walking on tracks - presence of a mp3 player and headphones with the body (listening to music?) Walking Headphones 1

Walking on tracks - Struck by train. ME found a set of earphones around the man's neck with a cassette player at his side. 

Also noted was a crack pipe in his pocket along with multiple syringes and two prescription medications, tolazamide and 

ranitidine, that were not prescribed to him.

Walking Headphones 1

Walking on tracks wearing earphones and iPod, heavy metal music. Found to have cocaine in his system. Hit from behind. Walking Headphones 1

Walking on tracks with headphones on Walking Headphones 1

Was walking on the tracks with headphones on when struck Walking Headphones 1

Involved in conflict at homeless encampment by tracks. Walked onto tracks. Drugs - Meth Walking Homeless 1

Deceased was walking southbound near the West Lane of RR tracks. He was going to check to see how another party was 

doing fishing. He saw the Northbound train approaching and hear a whistle. It is believed that he thought the whistle was 

probably come that train and didn't realize there was a Southbound train heading East and that was the train blowing the 

whistle...

Walking Hunting/Fishing 1

Hunting duck. Tried to get his dog off the tracks and was struck by train. Walking Hunting/Fishing 1

Individual who walking along tracks after fishing near railroad tracks Walking Hunting/Fishing 1

Kneeling on tracks Walking Kneeling 1

Squatting on track - no effort to move. Walking Squatting 1

A train was passing on one track, was throwing rocks while standing on tracks, 2nd train comes around curve. He did not 

hear and was hit by engine going near full speed.

Walking Standing 1

Deceased standing in front of approaching train with a beer, train operator stated it appeared deceased was going to step off

the tracks, but then the train hit her.

Walking Standing 1

Decedent was, for unknown reasons, standing too close to tracks Walking Standing 1

Standing between railroad tracks Walking Standing 1

Standing on tracks facing train Walking Standing 1

Standing on tracks while train approached Walking Standing 1

Standing on tracks with methamphetamine in system hit by train Walking Standing 1

Standing too close to train Walking Standing 1

Stood on hi speed tracks, struck by train (105+ mph) - Toxicology not able to be performed Walking Standing 1

Stood on track facing train (remote area) Walking Standing 1

Was standing between track one and two. As train approached he stepped toward track #2 and was struck. Walking Standing 1

According to train conductor, decedent was walking on the tracks talking on a cell phone Walking Walking 1

Apparently walking in the area, unknown Walking Walking 1

Both conductor and nearby motorist sounded horns in an attempt to alert the decedent, who was walking on the tracks. 

Subject was clipped by main after ignoring all warnings from witness ruled accident.

Walking Walking 1

Conductor stated the decedent was walking on tracks, and tried to move when he saw the train coming but was stumbling too 

much

Walking Walking 1

Deceased was walking on tracks and tried to move at last minute. Walking Walking 1

Deceased witnessed running from tracks where he had been walking - attempted to scale a fence running parallel to tracks Walking Walking 1

Decedent and friends were walking down tracks, friends moved when train approached. Subject did not move. Walking Walking 1

Decedent never indicated she was suicidal, but walked straight into oncoming train Walking Walking 1

Decedent walked onto tracks in path of oncoming train Walking Walking 1

Decedent was dear - walking home from school Walking Walking 1

Decedent was found already deceased, appeared he had been walking along the tracks and was struck on top of the head by a 

passing train

Walking Walking 1

Decedent was seen walking along the tracks, victim stopped moving and was struck by part of the locomotive Walking Walking 1

Decedent was seen walking along tracks, when engineer turned his attention to the subject he was lying down on the tracks Walking Walking 1

Decedent was walking along the train tracks with friends after consuming alcohol, didn't hear friend screaming, taken to 

hospital for resuscitation = unsuccessful

Walking Walking 1

Decedent was walking along tracks with a friend when struck by train. Walking Walking 1

Decedent was walking down tracks in opposite direction of train. Subject had recently been referred for partial hearing loss. 

Ear buds were found on the body

Walking Walking 1
47

Coroner/CME Incident Description Event Event 2 N

Decedent was walking home Walking Walking 1

Decedent was walking home along the railroad tracks Walking Walking 1

Decedent was walking on side of the tracks; as train approached he stepped up on track between the rails; looked at the train; 

turned his back to the train and was hit.

Walking Walking 1

Decedent was walking on the train tracks Walking Walking 1

Decedent was walking on tracks and was alerted by the train horn moved off the tracks and as the train approached he 

stepped back onto the train.

Walking Walking 1

Decedent was walking slowly on the tracks. Conductor sounded horn, but decedent seemed preoccupied with an object on the 

ground. Ruled accidental.

Walking Walking 1

Did not hear train approaching while walking. Alcohol - .14 Drugs - morphine Walking Walking 1

Highly intoxicated - walking home from bar - Alcohol-.31 Walking Walking 1

No witnesses to this incident, reportedly walking the tracks Walking Walking 1

Observed by other train walking on tracks - Looked up prior to impact Walking Walking 1

Struck by train while walking along railroad right-of-way Walking Walking 1

Struck by train while walking along RR tracks. Decedent moved after horns but not out of reach of train. Walking Walking 1

Subject called his wife just prior to incident. He told his wife he was intoxicated, lost, and walking next to tracks. Subject had 

an old head injury and would have periods of confusion.

Walking Walking 1

Subject was reportedly walking down the tracks when she failed to get out of the way of an oncoming train Walking Walking 1

Subject was spotted walking on track, back facing train, unresponsive to horn Walking Walking 1

Subject was struck by train while walking on tracks Walking Walking 1

Subject was walking on tracks with jacket over head. Engineer believes subject did not see/hear train due to jacket. Walking Walking 1

Subject was walking on train tracks wearing audio device when struck by train. Walking Walking 1

The decedent was observed walking on train track Walking Walking 1

The decedent was on the tracks and walked directly into the train with his jacket hood down Walking Walking 1

The decedent was walking along the side of the tracks picking up cans when he was struck by a moving train. Walking Walking 1

The decedent was walking between two sets of tracks, when she stepped onto the Eastern tracks. Walking Walking 1

The decedent was walking down the middle of the train tracks and saw the train and heard the horns but declined to move out 

of the way and was struck by a train.

Walking Walking 1

The decedent was walking in the middle of the tracks as the train sounded its horn behind him. The decedent made no 

attempts to exit the tracks.

Walking Walking 1

The decedent was walking on the tracks with a hooded jacket on. They blew the horn and the decedent did not look back and 

was struck

Walking Walking 1

The decedent was walking on the tracks, turned around and saw train approaching and heard sirens. He ignored the train and 

kept walking until he was struck

Walking Walking 1

This was considered an accident. Walking along tracks. Walking Walking 1

Train engineer saw the decedent walking in the same direction as the train, subject did not acknowledge the horn. Walking Walking 1

Trespasser walking on RR tracks - Taking a short cut to get home. Walking Walking 1

Undetermined manner of death - Walked down tracks in front of train Walking Walking 1

Victim had been paint and was walking toward the train Walking Walking 1

Victim was walking on train track - friends state he was walking home Walking Walking 1

Walked from track #2 to track #1. Was walking on tracks and struck from behind by left handrail of lead engine. He never 

looked at the train even when the whistle was blown.

Walking Walking 1

Walked into approaching train - Cocaine Walking Walking 1

Walked into the path of the train Walking Walking 1

Walked onto railroad track - psychiatric history Walking Walking 1

Walked over to RR tracks Walking Walking 1

Walking - Intoxicated Walking Walking 1

Walking along railroad tracks, train signaled, he ignored and was hit by train. Walking Walking 1

Walking along the train tracks. Did not respond to train horn. Positive for cannabinoids Walking Walking 1

Walking alongside tracks. Train came up behind him and struck glancing blow. Walking Walking 1

Walking bike along tracks Walking Walking 1

Walking down center of tracks without any attempt to move as train approached Walking Walking 1

Walking down middle of track. Appeared he attempted to move. Never identified Walking Walking 1

Walking down the tracks with small child Walking Walking 1

Walking down the tracks, appeared to prepare for impact Walking Walking 1

Walking down the tracks, the train was approaching, saw a shadow - which was decedent bending over. Walking Walking 1

Walking down tracks with a friend and did not hear train approaching. Train whistle heard blowing loudly multiple times by 

witnesses. Deceased pushed friend out of the way and was struck.

Walking Walking 1

Walking down tracks with friend - Friend noticed decedent wasn't next to him - Turned to see him "picking up something" or 

"tying his shoe" - Called to him to move - Decedent stood and smile as train struck him

Walking Walking 1

Walking home after night out Walking Walking 1

Walking home on RR tracks intoxicated - Alcohol-.251 Walking Walking 1

Walking in center of track. Ignored horn and light. Looked over shoulder before incident. Walking Walking 1

Walking north on railroad at approximately 11:45am. It was a very cold day and decedent had on a jacket with a hood it was 

up on his head and did not hear the train coming from behind him.

Walking Walking 1

Walking off track slowly when struck by train Walking Walking 1

Walking on railroad tracks with bag of beer cans over his shoulder. His back was to the train. Walking Walking 1

Walking on side of tracks not at intersection Walking Walking 1

Walking on the tracks - Went to get gas for the lawnmower - Struck from behind Walking Walking 1

Walking on track facing away from train. Deaf. Walking Walking 1
48

Coroner/CME Incident Description Event Event 2 N

Walking on track, saw train, made no effort to move. Walking Walking 1

Walking on tracks - intoxicated - whistle blew - did not move - stood with back to train Walking Walking 1

Walking on tracks after leaving bar. Walking Walking 1

Walking on tracks and filming for school project. Walking Walking 1

Walking on tracks indicated walking off of them when he saw the train coming. Walking Walking 1

Walking on tracks listening to an iPod Walking Headphones 1

Walking on tracks on cell phone. Train had very recently switched tracks Walking Walking 1

Walking on tracks to get to store. Walking Walking 1

Walking on tracks with companion Walking Walking 1

Walking on tracks, laid down, then stood up as train struck him. Walking Walking 1

Walking on tracks. Took no evasive action when horn was sounded. Walking Walking 1

Walking with friend Walking Walking 1

Walking with his back to the train, waving his arms. Walking Walking 1

Walking with male between the rails. Male walked off East - victim to west side and struck Walking Walking 1

Was walking with several people on the track when he was struck Walking Walking 1

Apparently trying to crawl under train when train moved Walking 1

Chasing dog on tracks Walking 1

Crouched in front of train. Walking 1

Decedent seen running on tracks away from train, but did not make attempts to get out of its path. Tox screen positive for 

methamphetamine. Manner of death ruled as undetermined.

Walking 1

Decedent was attempting pull female companion off the train tracks - when train was close - decedent fell or threw himself 

down over the top of her - train struck both victims. Female victim transported to local hospital - camping next to tracks -

strong smell of alcohol on decedent.

Walking 1

Decedent was hit by northbound train and discovered deceased approximately 30 mins later by a southbound train. Ruled 

accidental. No further info.

Walking 1

Decedent was seen "staggering" up the middle of the railroad tracks by conductor, hit by oncoming train Walking 1

Decedent was seen by train engineer in a fetal position Walking 1

Decedent was trying to pull another individual off the tracks when struck Walking 1

Drinking beer with his friend on the RR tracks when he tripped and fell on the RR ties Walking 1

Found down by tracks by bystander. Engineer did not know a trespasser was struck. Victim transported to hospital where 

death was pronounced

Walking 1

Hearing impaired trespasser struck by train Walking 1

Hit by southbound train immediately after northbound tri-rail passed. - Marijuana Walking 1

Hit by train while running on tracks, to the best of my knowledge. Walking 1

Knelt down in front of the train - Attempted to move just as the train struck him from behind Walking 1

Known for picking up scrap metal on the tracks. Conductor reported he was backing up the train when he saw the deceased 

with his back turned to the train, bending over. Did not respond to the train's horn, was struck and knocked off the tracks.

Walking 1

Looking for squashed coins on railroad tracks. Drinking all day. Walking 1

Male was trying to pull female off tracks. Both were hit and killed. Walking 1

Possibly stuck on track with hearing and gait problems. Walking 1

Reportedly left friend's home to get food Walking 1

Run in front of train Walking 1

Running down the tracks naked. Walking 1

Running out of way of train Walking 1

Sight-seeing, taking pictures and jumped as train was coming. Walking 1

Subject was autistic and had a love for trains, decedent wandered from home and was struck by train Walking 1

The decedent was squatting in the middle of the tracks, making a rock pile. The decedent made no attempts to move off the 

tracks as the train sounded its horn.

Walking 1

Trying to pull female off tracks. Both were hit and killed. Walking 1

Trying to put an object on the train track Walking 1

Victim fell in snow on RR tracks in front of oncoming train Walking 1

Was in stroller that was stuck in tracks. Mother could not get it free. Walking 1

While watching a passing train he was on the other tracks and did not hear the oncoming Amtrak. Walking 1

Witnessed by train engineer that the deceased kneeled down on the tracks with his back to the train. He had not mental or 

physical disabilities to allow him not to hear the oncoming train. Video of the accident on camera of train.

Walking 1

Witnessed to cross track, then stop on track in path of train. Drugs: cocaethylene, Benzoylecgonine, Diphenhydramine, 

Acetaminophen, Pseudoephedrine, Dextromethorphay

Walking 1

Young child wandered onto tracks, had been visiting a nearby home of a relative Walking 1
49

Appendix J: Life Stage Group Index

Group Names Decedent 

Percent

National 

Norms Sample Index

FAMILY FOCUSED 13.05% 3.61% 361%

FLYING SOLO 8.91% 3.95% 226%

MODEST MEANS 10.05% 5.59% 180%

MATURE RUSTICS 6.73% 3.79% 177%

MIXED SINGLES 4.21% 2.61% 161%

BEGINNINGS 7.54% 6.02% 125%

TRANSITION TIME 3.57% 3.01% 118%

OUR TURN 5.11% 6.20% 82%

CASH & CAREERS 3.40% 5.92% 57%

TRUE BLUES 1.54% 2.88% 53%

MIXED MIDDLERS 1.94% 4.60% 42%

TAKING HOLD 1.62% 4.02% 40%

GOLDEN YEARS 2.11% 5.95% 35%

JUMBO FAMILIES 1.78% 5.40% 33%

LEISURE BUFFS 2.19% 6.81% 32%

MIDDLING SINGLES 0.41% 1.65% 25%

MATURE WEALTH 1.05% 4.52% 23%

ACTIVE ELDERS 0.97% 6.62% 15%

FLUSH FAMILIES 0.81% 6.85% 12%

FORTUNES & FAMILIES 0.41% 4.69% 9%

AGING UPSCALE 0.24% 5.08% 5%
50

Appendix K: Personicx Lifestage Groups and Cluster Descriptions

1Y BEGINNINGS 8X JUMBO FAMILIES 15M MATURE WEALTH

Cluster 39 Early Parents Cluster 11 Kids and Clout Cluster 02 Established Elite

Cluster 45 First Digs Cluster 12 Tots and Toys Cluster 03 Corporate Clout

Cluster 57 Collegiate Crowd Cluster 19 Country Comfort

Cluster 58 Young Workboots Cluster 27 Soccer and SUVs 16M AGING UPSCALE

Cluster 67 Rolling Stones

Cluster 14 Career Centered 

Singles

9B MIDDLING SINGLES Cluster 15 Country Ways

2Y TAKING HOLD Cluster 29 City Mixers Cluster 23 Acred Couples

Cluster 18 Married Sophisticates Cluster 35 Solo and Stable

Cluster 21 Children First Cluster 56 Modest Wages 17M MODEST MEANS

Cluster 24 Career Building Cluster 43 Work and Causes

Cluster 30 Spouses & Houses 10B MIXED MIDDLERS Cluster 44 Community Singles

Cluster 47 Rural Parents Cluster 55 Humble Homes

3Y TRANSITION TIME Cluster 53 Metro Parents

Cluster 63 Downtown 

Dwellers

Cluster 34 Outward Bound Cluster 60 Rural Rovers

Cluster 68 Pennywise 

Proprietors

Cluster 41 Trucks and Trailers

Cluster 46 Home Cooking 11B FORTUNES & FAMILIES 18M MATURE RUSTICS

Cluster 01 Summit Estates Cluster 40 The Great Outdoors

4X FLYING SOLO

Cluster 04 Skyboxes and 

Suburbans Cluster 50 Rural Retirement

Cluster 42 First Mortgage Cluster 07 Lavish Lifestyles Cluster 54 Still Truckin'

Cluster 52 Resolute Renters

Cluster 59 Mobile Mixers 12B FLUSH FAMILIES 19M GOLDEN YEARS

Cluster 13 Solid Single Parents Cluster 05 Sitting Pretty

5X FAMILY FOCUSED Cluster 17 Apple Pie Families Cluster 08 Full Steaming

Cluster 37 Cartoons and Carpools Cluster 09 Platinum Oldies

Cluster 62 Kids and Rent 13B TRUE BLUES

Cluster 38 Midtown Minivanners 20S ACTIVE ELDERS

6X MIXED SINGLES Cluster 48 Farmland Families Cluster 25 Clubs and Causes

Cluster 61 Urban Scramble Cluster 28 Suburban Seniors

Cluster 69 Pennywise Mortgagees 14B OUR TURN Cluster 36 Raisin' GrandKids

Cluster 70 Resilient Renters Cluster 16 Country Single

Cluster 22 Fun and Games 21S LEISURE BUFFS

7X CASH & CAREERS Cluster 31 Mid Americana Cluster 49 Devoted Duos

Cluster 06 Shooting Stars Cluster 32 Metro Mix Cluster 51 Family Matters

Cluster 10 Hard Chargers Cluster 33 Urban Tenants Cluster 64 Rural Everlasting

Cluster 20 Dynamic Duos Cluster 65 Thrifty Elders

Cluster 26 Savvy Singles Cluster 66 Timeless Elders
51

PERSONICX LIFESTAGE CLUSTER PERSPECTIVES

1 SUMMIT ESTATES Summit Estates is the wealthiest of all clusters. In every sense, these families are enjoying the good life—

luxury travel, entertainment and consumption of every kind are within easy reach.

2 ESTABLISHED ELITE Established Elite represents America’s elite couples and singles. With no school-age children at 

home and the second highest income in the country, these households have enormous disposable incomes and pursue correlating luxuries 

and activities.

3 CORPORATE CLOUT Corporate Clout contains well-educated and well-compensated singles and couples in their 40s and 

50s. These corporate executives and professionals are serious travelers, whether for work or pleasure, and intelligent investors.

4 SKYBOXES and SUBURBANS Ranked 4th for both income and net worth, Skyboxes & Suburbans is also one of the besteducated of all the clusters . These families shop at upscale stores, spend time feathering their nest and adhere to regular fitness programs.

5 SITTING PRETTY Sitting Pretty represents financially secure couples nearing retirement. They are empty nester homeowners, 

living in outer suburbs and towns, enjoying a luxurious lifestyle.

6 SHOOTING STARS Shooting Stars is made up of childless couples in their 30s and early 40s. These home owning households 

often include professionals with graduate degrees.

7 LAVISH LIFESTYLES Lavish Lifestyles contains established couples with teenage kids, minivans and mortgages. Luckily, 

with a rank of fifth in the country, they have the high incomes to support them.

8 FULL STEAMING Full Steaming is a mix of affluent, well-educated couples and singles that have a net worth tending to fall 

between $500,000 and $1,000,000. An entrepreneurial bunch, this cluster ranks first for self-employment.

9 PLATINUM OLDIES These well-heeled retirees and soon-to-be retirees living in the outer edges of the city are enjoying the 

fruits of their lifetime labor. They are active pillars of their communities and dedicated grandparents, while interested in maintaining their 

health and fitness.

10 HARD CHARGERS Hard Chargers is dominated by well-educated and professionally successful singles. They are almost all 

homeowners in a mix of houses and condominiums.

11 KIDS & CLOUT Kids & Clout is comprised of affluent couples with school-age children. Their activities tend to be geared 

toward work, home or kids.

12 TOTS & TOYS Tots & Toys is dominated by affluent and well-educated working couples with preschool-age children. They 

are homeowners, mainly in single-family houses.

13 SOLID SINGLE PARENTS Solid Single Parents contains affluent single parents. These predominantly white-collar, 

professional metrocentrics enjoy comfortable incomes and are a mix of homeowners and renters.

14 CAREER CENTERED SINGLES These affluent, single professionals are well educated, dedicated to their careers and 

long-term homeowners in their communities.

15 COUNTRY WAYS These country empty nesters are an interesting mix of technicians, entrepreneurs and blue-collar workers. 

With average educational attainment levels, they enjoy upper incomes and middle-to-upper net worth.

16 COUNTRY SINGLE Country Single is a group of successful singles who are firmly entrenched in their rural communities. 

Upper-middle incomes and no children enable this group to save and spend on their personal interests.

17 APPLE PIE FAMILIES Apple Pie Families households are upper-middle class couples with school-age children. They are 

homeowners, often minivan drivers and avid radio listeners.

18 MARRIED SOPHISTICATES Married Sophisticates is made up of recently married young couples who enjoy healthy 

upper-middle range incomes. They are almost all homeowners with above average net worth, living in upscale suburban neighborhoods.

19 COUNTRY COMFORT Country Comfort is a combination of rural white-collar and blue-collar families, some selfemployed, with mixed-age children. The group ranks 16th for household income and has a relatively high percentage of working women.

20 DYNAMIC DUOS These upper-middle income, no-kids couples are well educated and well compensated. They are 

homeowners in mostly upscale neighborhoods.

21 CHILDREN FIRST Young families dominate Children First. At a mean age of 25, all are currently raising children. Evenly 

split between married couples and singles, these renters are more than four times likely to be students. They earn upper-middle incomes and 

live in suburban areas.

22 FUN & GAMES Fun & Games is a mix of couples in their late 40s and early 50s, living in outer suburbs and towns. Married 

and childless, these upper-middle income homeowners work in a mix of white-collar and blue-collar fields.

23 ACRED COUPLES Acred Couples households are comfortable and well-established couples in their late 50s and early 60s. 

These upper-middle income empty nesters enjoy a wide range of social activities in the outer suburban areas.

24 CAREER BUILDING Career Building is made up of young, childless singles. They are a mix of mobile renters and firsttime homeowners, living in condos and single-family houses.
52

25 CLUBS & CAUSES Clubs & Causes is dominated by upper-middle income, retired singles and couples in their late 60s and 

early 70s. These long-time homeowners live comfortably in outer suburbs and towns.

26 SAVVY SINGLES Savvy Singles households are reasonably well educated and enjoy upper-middle incomes. Despite solid 

incomes, their residence in metropolitan areas often requires renting in multiple-family dwellings.

27 SOCCER & SUVS Soccer & SUVs households are large, upper-middle income families. Located in the cities and 

surrounding areas, they typically have accrued a net worth of $500,000 or less.

28 SUBURBAN SENIORS These mostly retired octogenarians are community activists and devoted grandparents. With uppermiddle incomes and net worth, they are very comfortable in their advancing age.

29 CITY MIXERS City Mixers households are single urbanites. At a mean age of 41, there are no children in the home, and they 

work in a broad spectrum of white-collar jobs.

30 SPOUSES & HOUSES Spouses & Houses is dominated by middle-income, childless couples in their mid-20s. This group of 

mainly high school grads owns their homes and tends to live in suburbs and towns around the country.

31 MID AMERICANA Mid Americana households are married suburbanites. They are middle of the road in terms of education 

and income, although long tenure and high equity versus home values result in above average net worth.

32 METRO MIX Metro Mix households live in the nation’s mega markets. In their mid-40 to mid 60s, and with middle incomes, 

this group of diverse urbanites ranks second in residing in expensive multi-family dwellings.

33 URBAN TENANTS Urban Tenants households are predominantly singles in their early 50s. These middle-income, whitecollar professionals take advantage of urban life, enjoying the income and time that they have to the fullest. 

34 OUTWARD BOUND Outward Bound is middle-income, rural households, most without children, but a few some with 

toddlers, preschool and grade school children. Home ownership dominates this cluster, along with their tendency to drive compact or fullsize pickup trucks.

35 SOLO & STABLE These singles are all homeowners who work in mainly white-collar professional, administrative and 

managerial jobs. Their education and income place them about average in the middle class.

36 RAISIN' GRANDKIDS These older singles and couples are notable for their active grandparent status— every household 

shows the presence of children.

37 CARTOONS & CARPOOLS Married couples with children of all ages make up this solidly middle-income cluster. These 

homeowners are blue-and white-collar workers, supporting their families while establishing roots in their communities.

38 MIDTOWN MINIVANNERS Midtown Minivanners is one of the top ten blue-collar bastions in the country. With 

children of all ages, Midtown Minivanners is the oldest, full-family household in America.

39 EARLY PARENTS At a mean age of 25, Early Parents represents one of the youngest of the clusters. It contains single and 

married parents in their mid-20s whose spending habits and leisure time are heavily influenced by their young children and living within 

their means.

40 THE GREAT OUTDOORS The Great Outdoors households are young empty-nest couples living in very rural areas. They 

enjoy rural and solitary pursuits.

41 TRUCKIN' & STYLIN' Truckin' & Stylin' households are in their mid- to late-30s and live in rural towns. Though, on 

average, they earn middle incomes, they rank below average for income when compared to the nation and drop to close to the bottom of the 

list (58th) for net worth.

42 FIRST MORTGAGE First Mortgage is uniformly single and childless. They are all homeowners and in their early 30s. They 

work in a wide variety of occupations, but their income indicates that they are probably on the lower rungs of the career ladder.

43 WORK & CAUSES Work & Causes is dominated by those with lower-middle incomes, in their late forties, early fifties, and 

living in cities and surrounds. They are all homeowners, with roughly 13% owning & living in multi-unit dwellings.

44 COMMUNITY SINGLES Community Singles households are community-minded, lower-to-middle income singles. They 

are in their late fifties to early sixties, some retired, but many still working, mainly in lower-level clerical white-collar and blue-collar jobs; 

all are homeowners.

45 FIRST DIGS First Digs is made up of young, single and married couples who have lower-middle incomes and minimal-to-no net 

worth. These renters are more likely to be found in the second cities and surrounding areas.

46 HOME COOKING Home Cooking is comprised of married couples that, in their 30s and early 40s, have no children present 

in the home. They are mostly lower-middle income homeowners living in the surrounding areas of major second and edge cities across the 

U.S.

47 RURAL PARENTS These single parents live in some of the most rural parts of the country. They rank high for working 

women and most have started to accrue some net worth, predominantly through the homes they own.

48 FARMLAND FAMILIES Farmland Families is made up of large blue-collar families living in the most rural areas of the 

country. The group ranks high for household size and working women, and is firmly in the lower-middle category for income and net worth.

49 DEVOTED DUOS Devoted Duos is comprised of married couples with long-standing tenure in their communities and their 
53

homes. They live in the surrounding city suburbs and enjoy quiet activities.

50 RURAL RETIREMENT Rural Retirement is among the oldest of all the clusters. At a mean age of 76, these elderly rural 

couples enjoy comfortable, socially active lives in the country.

51 FAMILY MATTERS Family Matters is made up of active elderly couples who, despite a mean age of 70, are only 45% 

retired. They earn lower-middle incomes and own their suburban homes.

52 RESOLUTE RENTERS This mix of late 30/early 40 year-olds is single and has no children. They tend to be relatively 

mobile renters and are on the lower rungs of income and net worth.

53 METRO PARENTS Metro Parents is a group handling single parenthood and the stresses of urban life on a small budget. 

They are primarily high-school or vocationally educated homeowners who are well entrenched in their communities.

54 STILL TRUCKIN' These lower-income households are comprised of singles in their mid-50s. They are homeowners living 

in rural parts of the country.

55 HUMBLE HOMES Humble Homes is comprised of small-town couples in their mid- to upper-50s. They are long-time 

homeowners working in a mix of white-collar and blue-collar jobs.

56 MODEST WAGES Modest Wages represents low-income singles living without children in a mix of smaller, industrial 

cities. Educational attainment is lower for this group, though they are all homeowners.

57 COLLEGIATE CROWD With a mean age of 21, this group represents the youngest of all the clusters. The cluster has a 

high concentration of students, a correlating low net worth and high mobility, but interestingly they fall right in the middle for income.

58 YOUNG WORKBOOTS At a mean age of 25, this group is the third youngest cluster in the nation. They are unmarried, 

work in a mix of white-collar and blue-collar jobs, and are found primarily in small towns and more rural areas.

59 MOBILE MIXERS These highly mobile, diverse groups of people are single renters in their early 30s. They rank among the 

lowest for income and net worth with average education levels and tend to live primarily in cities and surrounding areas.

60 RURAL ROVERS Rural Rovers as a group is primarily single and highly mobile. They live in the most rural areas of the 

country, are renters, and enjoy outdoor and serene activities.

61 URBAN SCRAMBLE Urban Scramble is a combination of young professionals and students living in the nation’s most 

densely populated and expensive cities. While many are starting in white-collar professional careers, others of this highly mobile group are 

still finishing their degrees.

62 KIDS & RENT These lower-income, households are a combination of singles and married couples, all of whom have children. 

They are mostly renters, living in both single-family and multi-family apartment buildings.

63 DOWNTOWN DWELLERS Downtown Dwellers is a group of lower-income, single, downtown-metro renters. This 

upper-middle-aged, high-school and vocational/technical educated group makes ends meet with low-wage clerical and service jobs.

64 RURAL EVERLASTING Rural Everlasting is made up of lower-income elderly singles living in rural areas of the 

country. They tend to be renters, with little net worth accrued; nearly half are retired.

65 THRIFTY ELDERS Thrifty Elders households are elderly, lower-income singles. They live in small towns and suburbs 

where there is a mix of owners and renters.

66 TIMELESS ELDERS Timeless Elders households are still very active. At a mean age of 84, they remain active in their 

communities, enjoy playing bingo and needlework, and stay up-to-date on a regular diet of TV news.

67 ROLLING STONES Rolling Stones ranks second for student population, found in many college towns. Like other groups in 

this life stage, they are almost entirely unmarried, childless and highly mobile.

68 PENNYWISE PROPRIETORS Despite having the second lowest income of all the clusters, Pennywise Proprietors 

manages to rank 27th for net worth. These single homeowners, in their mid- to upper-50s, live primarily in some of the more densely 

populated areas across the country.

69 PENNYWISE MORTGAGEES Pennywise Mortgagees contains homeowners of single and multi-units, with the lowest 

incomes, but yet some net worth. At a mean age of 36, they are single and over five times more likely to be students.

70 RESILIENT RENTERS Resilient Renters represents singles with high-school and vocational/technical educations. At a 

mean age of 39, they are renters in the second-tier cities and, if employed, earn lower wages in service and clerical positions.

P R I V A C Y A S S U R E D

ACXIOM CORPORATION

1 INFORMATION WAY

P.O. BOX 8180

LITTLE ROCK, AR 72203-8180

1.888.3ACXIOM

www.acxiom.com
54

Appendix L: Detailed Description of Personicx Clusters

Group Name Cluster Name Age Marital Status

Home 

Ownership Kids Income Rank Urbanicity Rank Net worth Rank

Beginnings - Early Parents 18-29 Single/Married

Renter/Ow

ner Kids; Age Mix Low 60

City & 

Surrounds 30 <$50K 59

Beginnings - First Digs 24-29 Single/Married Renter No Kids Low Middle 54

City & 

Surrounds 29 <$5K 67

Beginnings - Collegiate Crowd 18-23 Single Renter No Kids Middle 36

City & 

Surrounds 36 <$10K 64

Beginnings - Young Workboots 18-29 Single

Renter/Ow

ner No Kids Low Middle 48 Rural 62 <$10K 61

Beginnings - Rolling Stones 24-29 Single Renter No Kids Lowest 67

City & 

Surrounds 18 <$5K 65

Taking Hold

- Married 

Sophisticates 30-35 Married Owner No Kids Upper Middle 19

Suburbs & 

Towns 49 $25K-$499K 18

Taking Hold - Children First 18-29 Married/Single

Owner/Ren

ter Kids; Age Mix Upper Middle 27

Suburbs & 

Towns 52 <$500K 49

Taking Hold - Career Building 24-29 Single

Renter/Ow

ner No Kids Upper Middle 23

City & 

Surrounds 38 <$100K 56

Taking Hold - Spouses & Houses 24-29 Married Owner No Kids Middle 31

Suburbs & 

Towns 42 $25K-$499K 35

Transition Time - Outward Bound 30-45 Married Owner No Kids Middle 33 Rural 67 <$250K 44

Transition Time - Truckin' & Stylin' 30-45 Single/Married

Owner/Ren

ter No Kids Middle 39 Rural 60 <$100K 58

Transition Time - Home Cooking 30-45 Married Owner No Kids Low Middle 53

City & 

Surrounds 31 <$500K 41

Flying Solo - First Mortgage 24-35 Single Owner No Kids Low Middle 41

City & 

Surrounds 16 <$500K 46

Flying Solo - Resolute Renters 36-45 Single Renter No Kids Low Middle 47

City & 

Surrounds 17 <$5K 68

Flying Solo - Mobile Mixers 30-35 Single Renter No Kids Low 58

City & 

Surrounds 15 <$5K 70

Family Focused

- Cartoons & 

Carpools 30-45 Married Owner Kids; Age Mix Middle 43

City & 

Surrounds 20 <$500K 47

Family Focused - Kids & Rent 30-45 Single/Married Renter Kids; Age Mix Low 62

City & 

Surrounds 10 <$5K 62
55

Mixed Singles - Urban Scramble 24-35 Single Renter No Kids Low Middle 51

Downtown 

Metro 3 <$10K 63

Mixed Singles

- Pennywise 

Mortgagees 30-45 Single Owner No Kids Lowest 70

City & 

Surrounds 9 <$250K 54

Mixed Singles - Resilient Renters 36-45 Single/Married Renter No Kids Lowest 68

City & 

Surrounds 14 <$5K 69

Cash & Careers - Shooting Stars 30-45 Married Owner No Kids Wealthy 6

Suburbs & 

Towns 43 $100K-$499K 9

Cash & Careers - Hard Chargers 30-45 Single Owner No Kids Affluent 8

Suburbs & 

Towns 41 $50K-$499K 11

Cash & Careers - Dynamic Duos 36-45 Married Owner No Kids Upper Middle 20

Suburbs & 

Towns 48 $25K-$499K 19

Cash & Careers - Savvy Singles 30-45 Single

Renter/Ow

ner No Kids Upper Middle 26

City & 

Surrounds 23 <$500K 50

Jumbo Families - Kids & Clout 36-45 Married Owner School-age Kids Affluent 9

Suburbs & 

Towns 44 $50K-$499K 12

Jumbo Families - Tots & Toys 30-45 Married Owner

Toddlers/Preschoo

l Affluent 10

City & 

Surrounds 28 $5K-$499K 29

Jumbo Families - Country Comfort 36-55 Married Owner Kids; Age Mix Upper Middle 16 Rural 59 $25K-$499K 33

Jumbo Families - Soccer & SUVs 30-45 Married Owner School-age Kids Upper Middle 29

Suburbs & 

Towns 39 $5K-$499K 37

Middling 

Singles - City Mixers 36-45 Single

Owner/Ren

ter No Kids Upper Middle 28

Downtown 

Metro 1 <$999K 17

Middling 

Singles - Solo and Stable 36-45 Single Owner No Kids Middle 37

City & 

Surrounds 19 <$500K 40

Middling 

Singles - Modest Wages 30-45 Single Owner No Kids Low 61

City & 

Surrounds 22 <$500K 43

Mixed Middlers - Rural Parents 36-55 Single

Owner/Ren

ter School-age Kids Middle 38 Rural 64 <$250K 52

Mixed Middlers - Metro Parents 36-55 Single Owner School-age Kids Low Middle 52

Downtown 

Metro 6 <$500K 48

Mixed Middlers - Rural Rovers 30-55 Single Renter No Kids Low Middle 40 Rural 61 <$25K 66

Fortunes & 

Families - Summit Estates 36-55 Married Owner School-age Kids Wealthy 1

City & 

Surrounds 35 $2MM+ 1

Fortunes & 

Families

- Skyboxes & 

Suburbans 36-65 Married Owner School-age Kids Wealthy 4

Suburbs & 

Towns 51 $1MM-$2MM 4

Fortunes & 

Families - Lavish Lifestyles 36-55 Married Owner School-age Kids Wealthy 5

Suburbs & 

Towns 57 $100K-$499K 10

Flush Families - Solid Single Parents 36-55 Single

Owner/Ren

ter Kids; Age Mix Affluent 14

City & 

Surrounds 21 $25K-$499K 22
56

Flush Families - Apple Pie Families 46-65 Married Owner School-age Kids Upper Middle 15

City & 

Surrounds 32 $25K-$999K 15

True Blues

- Midtown 

Minivanners 46-65 Married Owner School-age Kids Low Middle 49

City & 

Surrounds 13 <$500K 38

True Blues - Farmland Families 36-55 Married Owner School-age Kids Low Middle 50 Rural 66 <$250K 53

Our Turn - Country Single 36-65 Single Owner No Kids Upper Middle 18 Rural 65 $25K-$499K 21

Our Turn - Fun & Games 46-55 Married Owner No Kids Upper Middle 17

Suburbs & 

Towns 53 $25K-$499K 23

Our Turn - Mid Americana 46-65 Married Owner No Kids Middle 34

Suburbs & 

Towns 46 $25K-$999K 13

Our Turn - Metro Mix 46-65 Married/Single Owner No Kids Middle 32

Downtown 

Metro 2 $100K-$999K 8

Our Turn - Urban Tenants 46-65 Single/Married Renter No Kids Middle 30

Downtown 

Metro 4 <$100K 57

Mature Wealth - Established Elite 46-65 Married/Single Owner No Kids Wealthy 2

City & 

Surrounds 12 $2MM+ 2

Mature Wealth - Corporate Clout 46-65 Married Owner No Kids Wealthy 3

City & 

Surrounds 33 $1MM-$2MM 3

Aging Upscale

- Career Centered 

Singles 46-65 Single Owner No Kids Affluent 12

City & 

Surrounds 37 $25K-$499K 20

Aging Upscale - Country Ways 46-65 Married Owner No Kids Affluent 11 Rural 70 $25K-$999K 16

Aging Upscale - Acred Couples 56-65 Married Owner No Kids Upper Middle 21

Suburbs & 

Towns 55 $25K-$499K 32

Modest Means - Work & Causes 46-55 Single Owner No Kids Low Middle 44

City & 

Surrounds 26 $10K-$499K 45

Modest Means - Community Singles 56-65 Single Owner No Kids Low Middle 46

City & 

Surrounds 25 $10K-$999K 26

Modest Means - Humble Homes 46-65 Married Owner No Kids Low 59

Suburbs & 

Towns 50 <$500K 36

Modest Means

- Downtown 

Dwellers 46-65 Single Renter No Kids Low 64

Downtown 

Metro 5 <$10K 60

Modest Means

- Pennywise 

Proprietors 46-65 Single Owner No Kids Lowest 69

Downtown 

Metro 7 <$999K 27

Mature Rustics - The Great Outdoors 46-65 Married Owner No Kids Low Middle 45 Rural 68 $10K-$999K 31

Mature Rustics - Rural Retirement 66+ Married Owner No Kids Low Middle 42 Rural 69 $10K-$999K 28

Mature Rustics - Still Truckin' 46-65 Single Owner No Kids Low Middle 57 Rural 63 $10K-$999K 34

Golden Years - Sitting Pretty 46-55 Married Owner No Kids Wealthy 7

Suburbs & 

Towns 56 $100K-$999K 7
57

Golden Years - Full Steaming 56-65 Married/Single Owner No Kids Affluent 13

Suburbs & 

Towns 47 $500K-$999K 6

Golden Years - Platinum Oldies 66+ Married/Single Owner No Kids Upper Middle 24

City & 

Surrounds 11 $500K-$999K 5

Active Elders - Clubs & Causes 66-75 Married/Single Owner No Kids Upper Middle 22

Suburbs & 

Towns 54 $25K-$499K 25

Active Elders - Suburban Seniors 76+ Married/Single Owner No Kids Upper Middle 25

City & 

Surrounds 34 $25K-$499K 24

Active Elders - Raisin' GrandKids 66+ Married/Single Owner Kids; Age Mix Middle 35

City & 

Surrounds 24 $10K-$999K 14

Leisure Buffs - Devoted Duos 76+ Married Owner No Kids Low Middle 55

City & 

Surrounds 27 $10K-$499K 30

Leisure Buffs - Family Matters 66-75 Married/Single Owner No Kids Low Middle 56

Suburbs & 

Towns 40 <$500K 39

Leisure Buffs - Rural Everlasting 66+ Single

Renter/Ow

ner No Kids Low 63 Rural 58 <$100K 55

Leisure Buffs - Thrifty Elders 66-75 Single

Owner/Ren

ter No Kids Lowest 66

Suburbs & 

Towns 45 <$250K 51

Leisure Buffs - Timeless Elders 76+ Single/Married Owner No Kids Lowest 65

Downtown 

Metro 8 <$500K 42
58

Appendix M: Detail of How Decedents Mapped into Personicx Clusters

ZIP+4 ZIP Total

Group Names Cluster Names

Match 

Cnt Percent

Match 

Cnt Percent

Match 

Cnt Percent

BEGINNINGS - EARLY PARENTS 54 4.38% 1 0.08% 55 4.46%

BEGINNINGS - FIRST DIGS 6 0.49% 2 0.16% 8 0.65%

BEGINNINGS - COLLEGIATE CROWD 12 0.97% 2 0.16% 14 1.13%

BEGINNINGS - YOUNG WORKBOOTS 3 0.24% 0 0.00% 3 0.24%

BEGINNINGS - ROLLING STONES 11 0.89% 2 0.16% 13 1.05%

BEGINNINGS - 86 6.97% 7 0.57% 93 7.54%

TAKING HOLD - MARRIED SOPHISTICATES 0 0.00% 2 0.16% 2 0.16%

TAKING HOLD - CHILDREN FIRST 10 0.81% 1 0.08% 11 0.89%

TAKING HOLD - CAREERS BUILDING 5 0.41% 1 0.08% 6 0.49%

TAKING HOLD - SPOUSES & HOUSES 1 0.08% 0 0.00% 1 0.08%

TAKING HOLD - 16 1.30% 4 0.32% 20 1.62%

TRANSITION TIME - OUTWARD BOUND 1 0.08% 1 0.08% 2 0.16%

TRANSITION TIME - TRUCKIN' & STYLIN' 12 0.97% 6 0.49% 18 1.46%

TRANSITION TIME - HOME COOKING 17 1.38% 7 0.57% 24 1.94%

TRANSITION TIME - 30 2.43% 14 1.13% 44 3.57%

FLYING SOLO - FIRST MORTGAGE 0 0.00% 0 0.00% 0 0.00%

FLYING SOLO - RESOLUTE RENTERS 45 3.65% 27 2.19% 72 5.83%

FLYING SOLO - MOBILE MIXERS 29 2.35% 9 0.73% 38 3.08%

FLYING SOLO - 74 6.00% 36 2.92% 110 8.91%

FAMILY FOCUSED - CARTOONS & CARPOOLS 9 0.73% 7 0.57% 16 1.30%

FAMILY FOCUSED - KIDS & RENT 97 7.86% 48 3.89% 145 11.75%

FAMILY FOCUSED - 106 8.59% 55 4.46% 161 13.05%

MIXED SINGLES - URBAN SCRAMBLE 6 0.49% 3 0.24% 9 0.73%

MIXED SINGLES - PENNYWISE MORTGAGEES 1 0.08% 2 0.16% 3 0.24%

MIXED SINGLES - RESILIENT RENTERS 38 3.08% 2 0.16% 40 3.24%

MIXED SINGLES - 45 3.65% 7 0.57% 52 4.21%

CASH & CAREERS - SHOOTING STARS 6 0.49% 1 0.08% 7 0.57%

CASH & CAREERS - HARD CHARGERS 1 0.08% 0 0.00% 1 0.08%

CASH & CAREERS - DYNAMIC DUOS 7 0.57% 9 0.73% 16 1.30%

CASH & CAREERS - SAVVY SINGLES 13 1.05% 5 0.41% 18 1.46%
59

CASH & CAREERS - 27 2.19% 15 1.22% 42 3.40%

JUMBO FAMILIES - KIDS & CLOUT 3 0.24% 3 0.24% 6 0.49%

JUMBO FAMILIES - TOTS & TOYS 0 0.00% 0 0.00% 0 0.00%

JUMBO FAMILIES - COUNTRY COMFORT 1 0.08% 1 0.08% 2 0.16%

JUMBO FAMILIES - SOCCER & SUVS 8 0.65% 6 0.49% 14 1.13%

JUMBO FAMILIES - 12 0.97% 10 0.81% 22 1.78%

MIDDLING SINGLES - CITY MIXERS 0 0.00% 1 0.08% 1 0.08%

MIDDLING SINGLES - SOLO AND STABLE 0 0.00% 0 0.00% 0 0.00%

MIDDLING SINGLES - MODEST WAGES 1 0.08% 3 0.24% 4 0.32%

MIDDLING SINGLES - 1 0.08% 4 0.32% 5 0.41%

MIXED MIDDLERS - RURAL PARENTS 4 0.32% 2 0.16% 6 0.49%

MIXED MIDDLERS - METRO PARENTS 3 0.24% 9 0.73% 12 0.97%

MIXED MIDDLERS - RURAL ROVERS 5 0.41% 1 0.08% 6 0.49%

MIXED MIDDLERS - 12 0.97% 12 0.97% 24 1.94%

FORTUNES & FAMILIES - SUMMIT ESTATES 0 0.00% 0 0.00% 0 0.00%

FORTUNES & FAMILIES - SKYBOXES & SUBURBANS 3 0.24% 0 0.00% 3 0.24%

FORTUNES & FAMILIES - LAVISH LIFESTYLES 1 0.08% 1 0.08% 2 0.16%

FORTUNES & FAMILIES - 4 0.32% 1 0.08% 5 0.41%

FLUSH FAMILIES - SOLID SINGLE PARENTS 3 0.24% 2 0.16% 5 0.41%

FLUSH FAMILIES - APPLE PIE FAMILIES 4 0.32% 1 0.08% 5 0.41%

FLUSH FAMILIES - 7 0.57% 3 0.24% 10 0.81%

TRUE BLUES - MIDTOWN MINIVANNERS 7 0.57% 2 0.16% 9 0.73%

TRUE BLUES - FARMLAND FAMILIES 5 0.41% 5 0.41% 10 0.81%

TRUE BLUES - 12 0.97% 7 0.57% 19 1.54%

OUR TURN - COUNTRY SINGLE 0 0.00% 0 0.00% 0 0.00%

OUR TURN - FUN & GAMES 9 0.73% 12 0.97% 21 1.70%

OUR TURN - MID AMERICANA 11 0.89% 6 0.49% 17 1.38%

OUR TURN - METRO MIX 0 0.00% 2 0.16% 2 0.16%

OUR TURN - URBAN TENANTS 12 0.97% 11 0.89% 23 1.86%

OUR TURN - 32 2.59% 31 2.51% 63 5.11%

MATURE WEALTH - ESTABLISHED ELITE 7 0.57% 0 0.00% 7 0.57%

MATURE WEALTH - CORPORATE CLOUT 6 0.49% 0 0.00% 6 0.49%

MATURE WEALTH - 13 1.05% 0 0.00% 13 1.05%

AGING UPSCALE -

CAREER CENTERED 

SINGLES 0 0.00% 0 0.00% 0 0.00%

AGING UPSCALE - COUNTRY WAYS 2 0.16% 0 0.00% 2 0.16%
60

AGING UPSCALE - ACRED COUPLES 0 0.00% 1 0.08% 1 0.08%

AGING UPSCALE - 2 0.16% 1 0.08% 3 0.24%

MODEST MEANS - WORK & CAUSES 2 0.16% 1 0.08% 3 0.24%

MODEST MEANS - COMMUNITY SINGLES 3 0.24% 1 0.08% 4 0.32%

MODEST MEANS - HUMBLE HOMES 32 2.59% 15 1.22% 47 3.81%

MODEST MEANS - DOWNTOWN DWELLERS 56 4.54% 10 0.81% 66 5.35%

MODEST MEANS - PENNYWISE PROPRIETORS 0 0.00% 4 0.32% 4 0.32%

MODEST MEANS - 93 7.54% 31 2.51% 124 10.05%

MATURE RUSTICS - THE GREAT OUTDOORS 8 0.65% 21 1.70% 29 2.35%

MATURE RUSTICS - RURAL RETIREMENT 11 0.89% 16 1.30% 27 2.19%

MATURE RUSTICS - STILL TRUCKIN' 15 1.22% 12 0.97% 27 2.19%

MATURE RUSTICS - 34 2.76% 49 3.97% 83 6.73%

GOLDEN YEARS - SITTING PRETTY 5 0.41% 11 0.89% 16 1.30%

GOLDEN YEARS - FULL STEAMING 7 0.57% 0 0.00% 7 0.57%

GOLDEN YEARS - PLATINUM OLDIES 3 0.24% 0 0.00% 3 0.24%

GOLDEN YEARS - 15 1.22% 11 0.89% 26 2.11%

ACTIVE ELDERS - CLUBS & CAUSES 4 0.32% 0 0.00% 4 0.32%

ACTIVE ELDERS - SUBURBAN SENIORS 3 0.24% 1 0.08% 4 0.32%

ACTIVE ELDERS - RAISIN' GRANKIDS 4 0.32% 0 0.00% 4 0.32%

ACTIVE ELDERS - 11 0.89% 1 0.08% 12 0.97%

LEISURE BUFFS - DEVOTED DUOS 2 0.16% 3 0.24% 5 0.41%

LEISURE BUFFS - FAMILY MATTERS 4 0.32% 1 0.08% 5 0.41%

LEISURE BUFFS - RURAL EVERLASTING 9 0.73% 0 0.00% 9 0.73%

LEISURE BUFFS - THRIFTY ELDERS 7 0.57% 0 0.00% 7 0.57%

LEISURE BUFFS - TIMELESS ELDERS 1 0.08% 0 0.00% 1 0.08%

LEISURE BUFFS - 23 1.86% 4 0.32% 27 2.19%

655 53.08% 303 24.55% 958 77.63%